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Investigation of the effect of different intensity stabilization exercises on core muscle stiffness and pain in chronic low back pain: a single-blind, randomized controlled trial
Get PDFThe primary aim of this study was to investigate the effects of different intensities of spinal stabilization exercises (SSE) on the core muscle stiffness; the secondary aim was to investigate the effects of these exercises on pain and disability. Participants were randomly assigned into three groups. Group 1 (n = 16) received supervised SSE 4 days a week; group 2 (n = 17) received supervised SSE 2 days a week; and the control group (n = 17) received a home exercise program. Stiffness of transversus abdominis (TrA) measured by shear wave elastography at baseline and 12 weeks. Pain and disability evaluated by visual analog scale (VAS) and Oswestry Disability Index (ODI) at baseline, 6 weeks and 12 weeks. Post-intervention median left and right TrA stiffness were measured as group 1 = 31.4 (25.6-37.8) and 33.3 (27.6-36.2); group 2 = 27.8 (21.6-34.8) and 28.2 (21.9-35.6); control group = 19.4 (14.8-28.2) and 20.6 (15.2-30.2). The muscle stiffness of the group 1 was found to be statistically higher than the other groups (p < 0.05). Post-intervention median VAS and ODI scores were measured as group 1 = 3 (2-4) and 17 (14-26); group 2 = 3 (2-4) and 24 (16-26); control group = 4 (3-5) and 28 (20-36). The difference between the means between groups 1 and 2 was 0.63 for VAS and 7.61 for ODI. These differences were smaller than the minimal clinically important difference value. VAS was statistically lower in groups 1 and 2 than in the control group (p < 0.001). There was no statistical difference in VAS between groups 1 and 2 (p = 0.668). Group 1 improved ODI statistically more than group 2 (p = 0.002). Supervised SSE performed four days a week is statistically more effective in increasing muscle stiffness and reducing disability than exercises performed two days a week
From Operations to Policy: Integrating the CII Index into Analytical Frameworks for Airline Decarbonization
Get PDFThe aviation industry, contributing 2–3 % of global CO 2 emissions annually, faces growing pressure to balance environmental responsibilities with economic performance. With the International Air Transport Association’s (IATA) net-zero carbon goal by 2050, airlines must address challenges such as carbon tax policies, fleet optimization, and consumer affordability. This study examines the impact of market-based emission policies—carbon taxes, trading systems, and offset mechanisms—on Full-Service Carriers (FSCs) and Low-Cost Carriers (LCCs). Findings reveal that LCCs, with high efficiency and short-haul operations, adapt better to regulations than FSCs, which face higher costs due to long-haul networks. Strategies like fleet modernization, increased load factors, and sustainable aviation fuels (SAFs) are explored as pathways to mitigating passenger cost burdens while ensuring compliance. Methodologically, the study employs a Log-Mean Divisia Index (LMDI) decomposition model alongside a decoupling analysis to assess the environmental and financial performance of airlines. Highlighting the importance of tailored strategies, this study provides actionable insights and emphasizes collaboration between governments, airlines, and consumers to achieve sustainable growth in aviation. In addition, the study adapts the Carbon Intensity Indicator (CII) from the maritime sector to aviation, providing a novel metric for assessing carbon efficiency. Integrating CII with LMDI and profitability indicators enables a more transparent evaluation of airline sustainability and offers policymakers a robust tool for emission management
Developing a sustainability reporting framework for construction companies: Prioritization of themes with delphi study approach
Get PDFIn the contemporary business environment, there is an increasing demand for companies to disclose information regarding their corporate sustainability practices. An increasing number of construction companies transparently publish their sustainability practices through corporate sustainability reports under the headings of economic, environmental, social and governance. In the context of current practices, construction companies publish corporate sustainability reports by using different reporting frameworks, especially in areas beyond financial aspects, including standards established by the Global Reporting Initiative (GRI) as well as various legal obligations such as the Corporate Sustainability Reporting Standard (CSRS). This diversity makes it difficult to compare reported data and draw meaningful conclusions. Therefore, this research aims to simplify the reported information by reducing corporate sustainability themes to the most relevant ones for construction companies. Sustainability reporting frameworks and guidelines were examined through thematic analysis; then, the materiality and validity of sustainability themes for construction “companies were assessed using the Delphi analysis technique. Themes such as “Energy” in the environmental dimension, “Health and safety issues” in the social dimension, “Financial performance” in the economic dimension and “Board structure” in the governance dimension were identified as the corporate sustainability themes with the highest degree of impact, with an acceptable consistency ratio as a result of the analyses. As a result of the study, a reporting framework was developed consisting of a total of twenty-six themes for construction companies. The identification of material themes facilitates the integration of construction companies into the corporate sustainability reporting process and provides benefits for the innovation and sustainability of the sector © 2025 by the authors
Socioeconomic status and self-efficacy among breast cancer survivors: Insights from a cross-sectional study
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Z kuşağında yeşil satın alma davranışı
Get PDFBu araştırmada yeşil ürün farkındalığının Z kuşağı tüketicilerinin yeşil satın alma niyeti üzerindeki eylemlerinde planlı davranış teorisi kapsamında demografik özelliklerine göre yeşil satın alama davranışı üzerindeki etki rolü üstlenip üstlenmediğinin araştırılmasının yapılması amaçlanmaktadır. Alışveriş yapan Z kuşağı tüketicilerinin aldıkları ürün kapsamında yeşil olmasına ne kadar ve yeşil ürün alırken nelere dikkat ettiklerine, memnuniyetlerine olan etkileme durumunun araştırılması amaç edinilmiştir. Araştırma, Türkiye'deki Z kuşağı bireylerinden oluşan bir örneklem üzerinde gerçekleştirilmiş ve veri toplama yöntemi olarak anketler kullanılmıştır. Elde edilen veriler doğrulayıcı ve keşfedici faktör analizleri ile değerlendirilmiş, yeşil satın alma niyetini etkileyen temel unsurlar tespit edilmiştir. Çalışmanın sonuçları, demografik özelliklerin yeşil satın alma niyetini güçlü bir şekilde şekillendirdiğini, ancak yeşil ürünlerin yüksek fiyat algısının bu niyeti sınırlayabileceğini göstermektedir. Yapmış olduğumuz araştırma, Z kuşağının yeşil satın alma davranışlarına ilişkin literatürdeki boşluğu doldurmayı hedeflemekte ve sürdürülebilir tüketim alışkanlıklarının yaygınlaştırılmasına yönelik öneriler sunmaktadır. Çalışma, yeşil ürünlerin benimsenmesi için tüketicilerin çevresel bilgilerinin artırılması ve erişilebilir fiyat stratejilerinin uygulanması gerektiğini vurgulamaktadır.In this research, it is aimed to investigate whether green product awareness plays an impact role on green purchasing behavior according to demographic characteristics within the scope of the theory of planned behavior in the actions of Generation Z consumers on green purchasing intention. It is aimed to investigate the extent to which Generation Z shoppers are green within the scope of the product they buy and what they pay attention to when buying green products and the effect on their satisfaction. The research was conducted on a sample of Generation Z individuals in Turkey and questionnaires were used as data collection method. The data obtained were evaluated with confirmatory and exploratory factor analyses, and the main factors affecting green purchase intention were identified. The results of the study show that demographic characteristics strongly shape green purchase intention, but the perception of high price of green products may limit this intention. Our research aims to fill the gap in the literature on the green purchasing behavior of Generation Z and offers suggestions for the dissemination of sustainable consumption habits. The study emphasizes that consumers' environmental knowledge should be increased and accessible price strategies should be implemented for the adoption of green products
Advanced multi-layer deep learning model for accurate estimation of heat transfer and flow designing parameters across diverse dataset configurations
Get PDFThis study introduces a hybrid deep learning (DL) model for accurately predicting key parameters of Advanced plate heat exchanger (APHE) performance, including the Nusselt number (Nu), friction factor (f), and thermal performance parameter (P). The hybrid deep learning (DL) model integrates multiple deep learning (DL) models—Feedforward Neural Network (FNN), Cascade Forward Neural Network (CFNN), and Fitting Network (FN)—in a multi-layered design to optimize predictive accuracy. Evaluations were conducted using five diverse datasets, each divided into three scenarios targeting Nu, f, and P, respectively, thereby capturing a broad range of thermal system behaviors. The experimental analysis reveals that the proposed hybrid DL model delivers outstanding predictive accuracy, as reflected in the following results. For Nu prediction, the Root Mean Square Error (RMSE) of the top models in the second layer ranged from 0.0003 to 0.00305 across various datasets. In the case of predicting f, the RMSE spanned from 0.0002 to 0.0041, while for predicting P, it varied between 0.0001 and 0.0004. Notably, the third layer retained CFNN as the most effective architecture, achieving remarkably low RMSE values of 8.1 × 10−6, 4.8 × 10−6, and 4.86 × 10−6 for Nu, f, and P, respectively. Mean Absolute Error (MAE) and Nash-Sutcliffe Efficiency (NSE) metrics further validated the model's robustness, consistently yielding NSE scores near 0.9999. These models effectively minimized errors, particularly in high-variability regions. In the third layer, the hybrid DL framework selected CFNN as the optimal DL model for final predictions across all scenarios. This refinement achieved near-perfect accuracy, with Coefficient of Determination (R2) values surpassing 0.9999 and RMSE values reduced to less than 0.00003, showcasing exceptional generalization and reliability. The hybrid DL model consistently outperformed standalone DL models by combining their strengths and leveraging a hierarchical architecture. These results highlight the potential of hybrid DL approaches in addressing complex regression tasks and advancing predictive modeling in engineering applications. This study provides a significant contribution to optimizing heat exchanger performance and demonstrates the utility of hybrid DL models in real-world thermal system challenges
Epıdemıology And Outcome Analysıs Of Refugees In The Burn Intensıve Care Unıt: Experıence Of A Burn Center In Turkey
No full textAfter the civil war, which caused the migration crisis in Syria, several Syrian refugees immigrated to Turkey. Burn trauma is quite common in refugees who migrated after the war. This study aims to examine the epidemiological and clinical characteristics of refugee patients in a burn center located on Turkey’s Syrian border (southeastern region). A total of 1200 patients in the present study were admitted between January 2016 and June 2023 in intensive care units and/or service units of the 25 Aralık State Hospital Burn Center. The data of these patients were obtained retrospectively from the database of the 25 Aralık State Hospital. Of the 1,200 patients, 696 were Turkish citizens, and 504 were refugees. The percentage of burns (total body surface area) was observed to be higher for the refugees (p <0.05). In addition, the mortality rates were higher for refugees (p <0.05). The refugee factor should also be considered in preventing burns and in developing policies for it. © 2025, Mediterranean Club for Burns and Fire Disasters. All rights reserved
Effect of growing regions on discrimination of Turkish-style black table olives from Gemlik cultivar
Get PDFGemlik is a cultivar that grows in a distinct region of Turkiye and is ideal for brine fermentation of brine black table olives. Bursa Protected Designated Origin (PDO) and Izmir non-PDO Gemlik table olives have high levels of oleic acid (74%), total phenol (190 mg/kg), and dry matter (57%), while being low in linoleic acid (8%). The pH values and salt contents were observed to be in the range of 4.1 to 4.3 and 3.9% to 4.8%, respectively. During the fermentation of Gemlik table olives, a mass transfer occurred, resulting in a reduction in reducing sugar and total sugar contents as well as an increase in the salt content of the olives. Despite the reduction of phenolic content in both Gemlik PDO and non-PDO table olives, their antioxidant capacity remains high after fermentation. The oil content, antioxidant activity, phenolic contents, palmitic, palmitoleic, oleic, and linoleic acids were all found to be significant variables in distinguishing between Gemlik PDO and non-PDO table olives using PLS-DA analysis. There is a statistically significant correlation between the phenolic content and oleic (0.588) and linoleic (–0.659) acids (p < 0.05). Bursa PDO and Izmir non-PDO exhibit enhanced nutritional quality and antioxidant activity, unequivocally differentiating them from Hatay and Mersin non-PDO Gemlik table olives with 98% accuracy through discriminant analysis (p < 0.05). PLS-DA and DA can effectively identify variations in the quality of Turkish-style black table olives preserved in brine, originating from PDO and non-PDO growing areas. © 2024 by Japan Oil Chemists’ Society
Scars may ındeed "have the strange power to remınd us that our past ıs real":* a patıent reported outcome measures study ın women wıth postmastectomy breast reconstructıon
No full textObjective: One of the leading causes of death among women is breast cancer. The disease process and treatment journey consume patients' emotional and physical energy, severely affecting mood, self-esteem, body image, sexual functions, commitment, and overall quality of life. Postmastectomy breast reconstruction is known to revert some of these adversarial conditions. This study uses patient -reported outcome measures (PROMs) to investigate the factors influencing the end result and quality of life regarding postmastectomy breast reconstruction. Material and Method: Thirty-four patients who'd undergone breast reconstruction filled out a questionnaire form including 54 questions pertaining the patients' surgical and oncological history, demographics, mood, self-esteem, body and breast self-image, social and familial support mechanisms, and satisfaction with life and reconstruction. The study then collected anthropometric measurements and standardized photographs and had plastic surgery residents assess aesthetic outcome with regard to the photographs. Result: Half of the patients had immediate while the other half had delayed reconstruction. Of the patients, 10 (29.4%) had reconstructions that only involved an implant, 15 (44.1%) had reconstructions that only involved autogenous tissue, and nine (26.5%) that had both. No significant association could be found for the reconstruction method or timing of the reconstruction with aesthetic results, symmetry, or patient satisfaction. Meanwhile, nipple-areolar complex (NAC) reconstruction contributed to significantly better aesthetic outcomes (p=0.026) and overall patient satisfaction (p=0.029). Scar issues were found to significantly affect satisfaction scores (p=0.008) while not affecting the aesthetic outcome. Conclusion: Neither symmetry nor aesthetic outcome were found to be major factors influencing patients' overall satisfaction with breast reconstruction. However, scars are relevant as constant reminders of past surgeries. Another significant factor in patient satisfaction was NAC reconstruction
Lojistik firmalarında yeşil farkındalık ve yeşil strateji uygulamaları; Türkiye'deki lojistik firmalarının incelenmesi
Get PDFBu çalışma, lojistik sektöründe faaliyet gösteren firmaların yeşil farkındalık ve strateji arasındaki ilişkiyi derinlemesine incelemiştir. Elde edilen veriler, lojistik firmalarının çevresel faktörleri değerlendirme ve stratejik adımlar atma konusundaki hassasiyetlerini vurgulamıştır. Özellikle, yeşil farkındalık ile strateji arasındaki güçlü pozitif ilişki, çevre dostu uygulamaları benimseme ve sürdürülebilirlik çabalarıyla ilişkilendirilmiştir. Anket sonuçları, yönetim şekli ile yeşil farkındalık düzeyleri arasında anlamlı bir ilişki olduğunu ortaya koymuş ve bu durumun şirketlerin çevresel konulardaki yaklaşımlarıyla bağlantılı olduğunu göstermiştir. Ayrıca, lojistik firmalarının sunduğu hizmetler ile yeşil farkındalık ve strateji düzeyleri arasında da bir ilişki olduğu belirlenmiştir. Bunun yanı sıra, uluslararasılaşma derecelerinin, firmaların çevresel konulara olan duyarlılıkları üzerinde etkili olduğu bulunmuştur. Bu sonuçlar, lojistik firmalarının çevresel faktörlere yönelik bakış açılarını iş stratejilerine yansıtma eğiliminde olduklarını göstermektedirThis study shows that the difference between the green center and strategy operating in the logistics sector is increasing. The data obtained emphasizes the sensitivity of logistics companies regarding the evaluation of their activities and taking steps. In particular, the strong positive relationship between green safe and strategy, environmentally friendly practices have been adopted and associated with sustainability strategies. The survey results revealed a significant relationship between management style and green intervals, and their relationship with the probabilities of these changes was shown. In addition, it was determined that there is a relationship between the services offered by logistics companies and green diary and strategy. Moreover, it turns out that degrees of internationalization have an impact on the brains of those with density. These results aim to report the factors and business strategies of logistics companies