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Factors influencing pain intensity in knee osteoarthritis: a cross-sectional biopsychosocial perspective
Get PDFBackground: Pain is pivotal in managing knee osteoarthritis (KOA), necessitating tailored rehabilitative strategies. The biopsychosocial framework suggests that a multifaceted approach is crucial for understanding and managing pain in KOA patients. This study explored the factors that influence pain intensity through biological and psychosocial determinants from a biopsychological perspective in KOA patients. Methods: This cross-sectional study included 150 KOA patients with Kellgren-Lawrence (K/L) grades 2–4. Patients were classified into three groups based on their Visual Analogue Scale scores: mild (n = 79), moderate (n = 40), and severe pain intensity (n = 31). The biological determinants included the body mass index, Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) for knee function, the 30-second sit-to-stand (30STS) test for functional strength, and the Timed-Up and Go (TUG) test for mobility. Psychological determinants comprised the Depression Anxiety Stress Scale-21 (DASS-21) for emotional well-being, the Tampa Scale for Kinesiophobia (TSK) for kinesiophobia, and the Activities-Specific Balance Confidence (ABC) scale for balance confidence. Social determinants included educational attainment and the Short Form-36 (SF-36) for health-related quality of life. Results: Significant differences in biopsychosocial determinants were identified among the various pain intensity groups. Biological factors, including WOMAC scores, TUG, and 30STS tests; psychological factors, such as depression and anxiety (DASS-21) and kinesiophobia (TSK); and social factors, including mean years of education and all SF-36 subscales, were significantly worse in the severe pain group (p < 0.05). However, balance confidence did not differ between groups (p = 0.060). Patients in the severe pain group exhibited poorer outcomes across biological, psychological, and social domains, whereas the moderate pain group displayed worse biological and social outcomes when compared to the mild pain group (p < 0.05). Conclusion: This study emphasizes the significance of a biopsychosocial framework in managing pain in KOA patients. Worsened biological factors like knee function, mobility, and functional strength, alongside psychological issues such as depression and anxiety, influence pain intensity. Social determinants, including lower educational attainment and quality of life, highlight the need for patient-centered care. Future research should include diverse populations and longitudinal data to improve interventions and guide global health policies for integrating the biopsychosocial perspective for KOA management. © 2025 Elsevier B.V., All rights reserved
DEVELOPMENT, CHARACTERIZATION AND APPLICATION OF CHITOSAN-BASED FORMULATION INCORPORATING Crataegus orientalis EXTRACT FOR FOOD CONSERVATION
No full textIn this investigation, chitosan-based films loaded with plant extracts from Crataegus orientalis (CR) were elaborated and evaluated in terms of structural, physicochemical and antimicrobial properties. Firstly, the CR extract was characterized by LC-MS/MS showing an abundance of Protocatechuic acid (56.82 μg/g) and Chlorogenic acid (67.13 μg/g). Then, the extract was incorporated into chitosan-based films at different concentrations (CHCR1-3). Findings revealed modifications in FTIR and XRD graphs as well as SEM micrographs following the incorporation of CR extract confirming the changes in the matrix structure and texture. Moreover, the addition of the extract reduced the transparency, swelling ratio, water solubility and moisture content potencies while increasing considerably the material thickness reaching 2.5-fold as regards CHCR3. Furthermore, Thermogravimetric findings showed three stages of degradation for CH control and CHCR2, with mass loss due to water evaporation and glycerol breakdown. Ultimately, CHCR bioformulations showed significant antimicrobial activity against Escherichia coli, Staphylococcus aureus and Candida albicans, especially in the case of the CHCR3, which was verified by the application as a preservative coating for lemon fruit. These encouraging results highlight the potential utilization of CHCR bioformulation as coating/packaging for perishable food products. © 2025 Elsevier B.V., All rights reserved
Are mid-term functional outcomes different in unilateral and bilateral developmental dysplasia of the hip? A cross-sectional study
No full textBackground: Studies on developmental dysplasia of the hip (DDH) include risk factors associated with posttreatment complications, and functional assessments have generally been performed in adult DDH with surgery indications. To the best of our knowledge, mid-term patient-reported and performance-based functionality has not been examined conservatively treated patients. Objective: This cross-sectional study examined mid-term patient-reported and performance-based functional outcomes in DDH patients with hip abduction brace. Methods: Patients treated with a hip abduction brace from 2011 to 2018 were screened, and 72 eligible patients were invited. 35 volunteers were divided unilateral DDH group (n = 16, mean age: 7.06 +/- 1.39) and bilateral DDH group (n = 19, mean age: 6.68 +/- 1.11). Demographic, clinic, and radiologic data were recorded. Lower Extremity Functional Scale (LEFS), 10-m walk test (10MWT), double-leg vertical jump test, jump rope, and the STAR excursion balance test (SEBT) were assessed. Results: The mean follow-up period was 81.63 +/- 17.08 months for the unilateral and 78.79 +/- 12.25 months for the bilateral DDH group (p = 0.572). There was no significant difference between groups in LEFS (p = 0.333), double-leg vertical jump test (p = 0.908), 10MWT (p = 0.175), and jump rope scores (p = 0.886). In addition, there was no difference in dynamic balance (SEBT) between the affected and healthy sides in the unilateral DDH group and between both sides in the bilateral DDH group (p > 0.05). Conclusions: School-aged children with unilateral or bilateral DDH treated conservatively have similar mid-term outcomes in physical activities requiring bilateral lower extremity performance and dynamic balance, regardless of hip involvement
Evaluating Upper Extremity Selective Motor Control and Its Relationship with Trunk Control and Balance in Spastic CP
No full textUpper extremity Selective Voluntary Motor Control (SVMC) is a key factor influencing upper extremity functions in children with Cerebral Palsy (CP), but differences in SVMC of the upper extremity between unilateral and bilateral CP and its association with trunk control and balance remain unclear. This study aims to examine differences in upper extremity SVMC and its association with trunk control and balance in 58 children (31 unilateral, 27 bilateral) with spastic CP. SVMC, balance, and trunk control were assessed using the Selective Control of Upper Extremity Scale (SCUES). Pediatric Balance Scale (PBS), and the Trunk Control Measurement Scale (TCMS), respectively. No significant difference in SCUES scores was found between unilateral and bilateral CP (p > 0.05). SCUES scores correlated with TCMS in both types (p < 0.05), with a stronger correlation in bilateral CP (unilateral rho = 0.38, bilateral rho = 0.87). PBS correlated with SCUES only in bilateral cases (p < 0.01, rho = 0.88). In conclusion, impaired upper extremity SVMC is common in spastic CP and more linked to trunk control and balance in bilateral than unilateral cases. Addressing this difference may guide the development of tailored interventions for both types
Optimized CNN-LSTM with hybrid metaheuristic approaches for solar radiation forecasting
Get PDFThe increasing reliance on solar energy has underscored the need for precise forecasting of photovoltaic power outputs, with solar radiation forecasting being a critical factor. This study proposes a novel model for solar radiation forecasting using meteorological and solar radiation data. The performance of several machine learning and deep learning models, including Long Short-Term Memory, Autoregressive Integrated Moving Average, Multilayer Perceptron, Random Forest, XGBoost, Support Vector Regression, and a hybrid CNN-LSTM model, is evaluated for daily solar radiation forecasting. To improve the accuracy of the model, hyperparameter optimization is applied to the CNN-LSTM model using three metaheuristic algorithms: Particle Swarm Optimization, Grey Wolf Optimization, and Starfish Optimization Algorithm. A hybrid ensemble approach is then proposed, integrating the predictions of the three optimized CNN-LSTM models to reduce error and enhance forecasting stability. The results demonstrate that the hybrid model outperforms the individual models, achieving the lowest MAE, MSE, and RMSE while maximizing the R2 score. The proposed methodology showcases the effectiveness of combining hybrid deep learning with metaheuristic optimization in solar radiation forecasting, offering a robust and adaptable framework for renewable energy applications
Conformable modeling of normalization and recursional soft spacelike magnetic curves
No full textIn this paper, we investigate spacelike magnetic curves according to Bishop frame. Firstly, we present conformable derivatives of Lorentz magnetic fields of these magnetic curves. Moreover, we calculate the conformable derivatives of the normalization and recursional electromagnetic vector fields. Finally, we give conformable energies of normalization and recursional electromagnetic fields related to spacelike magnetic curves. © 2025 Elsevier B.V., All rights reserved
Enhanced Luminescent Probe Utilizing Schiff Base Ligand for 2,4,6-Trinitrophenol Detection in Aqueous Media
Get PDFThis research explored the fluorescence properties of a Schiff base ligand which was synthesized and characterized used by standard spectroscopic methods. The examination into its photophysical and fluorescent sensor properties involved UV-Vis spectroscopy, as well as fluorescence spectroscopy, time-resolved and steady-state. Fluorescent sensors were found to exhibit excellent sensitivity and selectivity for 1,3,5-trinitrophenol (TNP), over testing with other nitroaromatic (dinitrobenzene (DNB), 2,4,6-trinitrotoluene (TNT), 2,4-dinitrotoluene (DNT), 2-nitrophenol (2-NP), 4-nitrophenol (4-NP), and 2,4-dinitrophenol (DNP)), explosives with significant fluorescence “off” responses, resulting in immediate fluorescence color change. The binding mechanisms between Schiff base and TNP were assessed using Job’s drawing. The compound exhibited exceptional sensitivity in detecting TNP with an impressively low LOD of 0.253 μM covering a linear working range of 2.50-30.00 μM. The study revealed that the compound exhibited robust fluorescent properties, proved to be effective in fluorescence quenching-based TNP detection in water solutions, and demonstrated both high selectivity and sensitivity. This finding underlines the potential utility of this ligand as a promising tool in environmental monitoring or related fields where the detection of TNP is crucial
MERSİN AKKUYU NÜKLEER GÜÇ SANTRALİNDE ÇALIŞAN RUS PERSONELİN BÖLGE MUTFAK KÜLTÜRÜNE UYUM SÜRECİ
Get PDFAnadolu’ya farklı amaçlarla gelen göçmenlerin yaşam tarzları, gelenek ve görenekleri, örf adetlerinin yanı sıra mutfak kültürlerinde de farklılıklar bulunmaktadır. Bu farklılıklar süreç içerisinde kültürel etkileşimi meydana getirmektedir. Bu kapsamda ülkelerin başta mutfak kültürü olmak üzere etkileşimlerinin araştırılarak kayıt altına alınması sürdürülebilirliğin sağlanması açısından oldukça önemlidir. Bu çalışmada, Akkuyu Nükleer Güç santrali bünyesinde görev alan bireylerin bölge mutfak kültürlerine uyum süreci incelenmiştir. Çalışmada veriler, Rusya’nın 9 farklı bölgesinden gelen 25 Rus uyruklu personel ile yüz yüze gerçekleştirilen görüşmeler sonucunda elde edilmiştir. Görüşmeler için yarı yapılandırılmış görüşme formu kullanılmıştır. Araştırmada nitel araştırma yöntemi kullanılmış olup, gerçekleştirilen görüşmeler sonucunda elde edilen veriler MAXQDA nitel veri analiz programı ile çözümlenmiştir. Bu çalışmada, bölge mutfak kültürü, hedef kitlenin adaptasyon süreçleri vb. incelenerek literatüre katkı sağlanması amaçlanmıştır. Çalışma sonucunda Türk yemeklerinin çok baharatlı olması, Rus yemeklerinin malzemelerini tedarik etmede karşılaşılan sorunlar belirlenmişken aynı zamanda katılımcıların büyük bir kısmının mevcut beslenme alışkanlığı değişmezken bazılarının yemeklerde baharat tercih etmeye başladığı ve et ile balık tüketimlerinin artış gösterdiği tespit edilmiştir
The effect of biomimicry applications on student's science, engineering and entrepreneurship skills and attitudes towards sustainable environment
Get PDFGünümüz dünyasında disiplinler arası düşünme becerileri, yaratıcı problem çözme ve çevresel duyarlılık gibi 21. yüzyıl becerilerinin eğitim yoluyla kazandırılması önemlidir. Biyomimikri, bu becerileri destekleyen doğa temelli yenilikçi bir yaklaşım olarak eğitim sistemlerinde giderek daha fazla yer bulmaktadır. Araştırmanın amacı, biyomimikri temelli öğretim uygulamalarının ortaokul 8. sınıf öğrencilerinin fen, mühendislik ve girişimcilik becerileri ile sürdürülebilir çevreye yönelik tutumları üzerindeki etkilerini incelemektir. 2024-2025 eğitim-öğretim yılında Bitlis ilinde yer alan bir devlet okulunda yürütülen çalışma, 26 öğrenci ile gerçekleştirilmiştir. Açıklayıcı sıralı karma araştırma deseni seçilmiş; nicel bölümde tek grup ön test-son test yarı deneysel model, nitel bölümde ise fenomenolojik desen kullanılmıştır. Veri toplama araçları arasında "Fen, Mühendislik ve Girişimcilik Becerileri Değerlendirme Ölçeği", "Sürdürülebilir Çevre Tutum Ölçeği" ve yapılandırılmış öğrenci görüşme formları yer almaktadır. Sekiz hafta (32 ders saati) süren uygulama sürecinde biyomimikri temelli etkinlikler fen bilimleri dersi kapsamında uygulanmıştır. Araştırma bulgularına göre, biyomimikri uygulamaları öğrencilerin fen, mühendislik ve girişimcilik becerilerinde anlamlı gelişmeler sağlamış; sürdürülebilir çevreye yönelik olumlu tutumlarını artırmıştır. Öğrenciler, doğayı gözlemleyerek yenilikçi fikirler geliştirme, günlük yaşam problemlerine yaratıcı çözümler üretme ve çevreye duyarlı bireyler olma konusunda ilerleme göstermiştir. Biyomimikri temelli öğretim süreci, öğrencilerin akademik başarılarını ve çevresel farkındalıklarını artırmış; fen okuryazarlığı düzeylerini yükseltmiştir. Ayrıca mühendislik ve girişimcilik alanlarında yaratıcı ürünler geliştirme becerileri güçlenmiş; doğa temelli düşünme ve çevreye duyarlılık tutumları olumlu yönde değişmiştir. Öğrencilerin biyomimikriye karşı yüksek ilgi duyduğu ve bu uygulamaların bilimsel düşünme becerilerini desteklediği gözlenmiştir. Nitel veriler ise öğrencilerin düşünme, gözlem yapma, hayal kurma ve işbirliği becerilerinin geliştiğini göstermiştir. Bu kapsamda, biyomimikri eğitiminin öğretim programlarına entegrasyonu önerilmektedir.In today's world, it is essential to equip students with 21st-century skills such as interdisciplinary thinking, creative problem-solving, and environmental sensitivity through education. Biomimicry, as a nature-based and innovative approach that supports these skills, is increasingly being integrated into educational systems.The aim of this study is to investigate the effects of biomimicry-based instructional practices on 8th-grade middle school students' science, engineering, and entrepreneurship skills, as well as their attitudes toward a sustainable environment. The study was conducted with 26 students at a public school in the province of Bitlis during the 2024–2025 academic year.An explanatory sequential mixed-methods design was employed. In the quantitative phase, a single-group pretest-posttest quasi-experimental model was used, while the qualitative phase adopted a phenomenological design. Data collection tools included the "Science, Engineering, and Entrepreneurship Skills Assessment Scale," the "Sustainable Environment Attitude Scale," and structured student interview forms.During the eight-week (32 class hours) implementation period, biomimicry-based activities were integrated into the science curriculum. According to the research findings, biomimicry practices led to significant improvements in students' science, engineering, and entrepreneurship skills and positively influenced their attitudes toward a sustainable environment. Students showed progress in observing nature to develop innovative ideas, producing creative solutions to everyday problems, and becoming environmentally responsible individuals.The biomimicry-based instructional process enhanced students' academic achievement and environmental awareness, increasing their level of scientific literacy. Additionally, their ability to design creative products in engineering and entrepreneurship improved, and their nature-based thinking and environmental sensitivity developed positively. It was observed that students showed a high level of interest in biomimicry and that these practices supported their scientific thinking skills.Qualitative data also revealed improvements in students' thinking, observation, imagination, and collaboration skills. In this context, it is recommended that biomimicry education be integrated into instructional programs
Deep Learning for Marine Vehicles Parking Availability: A ResNet50-Based Deep Feature Engineering Model
Get PDFIn this research, our essential objective is to evaluate the availability of parking spaces within port/marine/fisher shelters employing a novel computer vision-based approach. Therefore, we collected a new dataset and developed a ResNet50-based image classification model to detect parking status. Initially, we collected a new image dataset using an unmanned aerial vehicle (UAV) from over 200 fisher shelters and the collected image dataset contains two classes which are parking available or not (full). To automatically detect parking available fisher shelters, a new ResNet50-based deep feature engineering (DFE) approach has been recommended. In the recommended DFE approach, we introduced a novel semi-overlapped patch division strategy to extract local features like transformers. To implement this model, we first trained the ResNet50 approach on our collected training dataset and a trained ResNet50 model has been obtained. Subsequently, deep features have been derived using the proposed semi-overlapped patch division approach and the global average pooling (GAP) layer of the trained ResNet50. Nine feature vectors have been generated using patches and a feature vectors has been extracted from the whole image. By using this strategy, we have generated both local and global features and these features have been merged to create the ultimate feature vector. To select informative features from the generated ultimate feature vector, iterative neighborhood component analysis (INCA) feature selector has been applied. The chosen features by INCA were employed as input of the support vector machine (SVM), is a shallow classifier, classifier to create classification results. The used ResNet50 convolutional neural network (CNN) attained 100% training accuracy and 94.23% validation accuracy. Subsequently, the recommended DFE model was assessed on test images, achieving a test classification accuracy of 97.27%. Furthermore, we utilized Grad-CAM and feature analysis to provide interpretable results for the presented model. The achieved classification performance and the explanatory outcomes demonstrably illustrate the capability of the proposed model for automatic detection of parking availability in fisher shelters. These findings support the utility of computer vision as a viable solution for this application