Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

Bu koleksiyon için kalıcı URIhttps://hdl.handle.net/20.500.14517/19

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Customized Forms of Kurdishness in Turkey: State Rhetoric, Locality, and Language Use
(Bloomsbury Publishing Plc., 2018) Şengül, C.
The discussions on Kurds of Turkey mostly refer to them as if they are one homogeneous group, with different forms of being Kurdish mostly overlooked. Yet, Kurds have been scattered all across Turkey; they differ in terms of the language they speak; they have also been subject to different policies of the Turkish state in different periods. How can we take these factors into account when discussing Kurdishness in Turkey? That is, in which ways does a Kurd living in a small city in Southeast Turkey differ from a Kurd living in Istanbul? How does being a native Kurdish speaker play a role in forming Kurdishness? What about different state rhetoric in different periods? By focusing on these three main questions, this book offers a detailed account on the diversity of experiences of Kurdishness. Based on her fieldwork in five different field sites in Turkey, Dr. Sengül illustrates, through narratives of her respondents, how Kurdishness is exhibited in different, personalised, and customised forms across different contexts in Turkey. Each substantive chapter in the book analyses a different element that plays a role in constructing these different forms of Kurdishness: state rhetoric, localities, and the language use. By arguing that there is not one single way of exhibiting Kurdishness, this book challenges any standard definitions of Kurdishness, and defines it as the daily (re-)negotiation of state rhetoric and everyday practices individuals experience. © 2025 Elsevier B.V., All rights reserved.
Accurate Prediction of Physical Properties of Different Freons via Different Machine Learning Models
(Elsevier Ltd, 2025) Du, J.; Karimi, M.; Khalaf, M.I.; Al-Nussairi, A.K.J.; Sawaran Singh, N.S.S.; Hasson, A.R.; Ahmad, Z.
Accurate prediction of refrigerant properties is essential for the design, optimization, and energy efficiency of cooling systems. R-12 and R-22 are among the most widely used refrigerants in industrial and domestic applications. Yet, their thermodynamic behavior is highly nonlinear and difficult to represent with traditional models, particularly under varying operating conditions. These challenges underscore the need for advanced data-driven methods, and machine learning presents a promising solution for enhancing predictive performance. In this research, four machine learning techniques were applied. The models considered were Least-Squares Boosting (LSBoost), Generalized Linear Model (GenLin), Multi-Layer Perceptron Artificial Neural Network (MLP-ANN), and Support Vector Regression (SVR). A dataset collected under controlled laboratory conditions was used for training and testing. The goal was to predict three fundamental refrigerant properties, namely density, velocity, and temperature. These properties were selected because they significantly impact refrigerant mass flow rate, heat transfer efficiency, pressure drop, and overall system performance. The analysis showed that LSBoost consistently achieved the highest predictive accuracy. In density estimation, it achieved an RMSE of 7.69E-04, a Pearson correlation coefficient of 0.9935, a coefficient of determination of 0.9968, a mean absolute percentage error of 5.7847, and a Kling-Gupta efficiency of 0.9736. In contrast, the Generalized Linear Model delivered substantially weaker results. In velocity prediction, LSBoost achieved a Pearson correlation coefficient of 0.9982 and an RMSE of 2.30 × 10^-5, with a coefficient of determination of 0.9978. At the same time, the Multi-Layer Perceptron reached only 0.2132 for the coefficient of determination. For temperature estimation, LSBoost produced an RMSE of 4.3644, a Pearson correlation coefficient of 0.9983, and a coefficient of determination of 0.9992, in contrast to Support Vector Regression, which yielded an RMSE of 92.344. Overall, the study demonstrated that LSBoost was a highly accurate and reliable tool for predicting complex thermodynamic properties of refrigerants, supporting its application in thermodynamic modeling and refrigeration system design. However, the relatively small dataset and simplified input features represented important limitations that may reduce generalizability. Future research should therefore involve larger and more diverse datasets to strengthen the applicability of the proposed approach in real-world engineering contexts. © 2025 Elsevier B.V., All rights reserved.
An In-Depth Analysis of the Impact of Magnetic Fields on Phase Change Materials for Enhanced Thermal Performance
(Elsevier Ltd, 2025) Rashid, F.L.; Al-Obaidi, M.A.; Abdulhadi, H.A.; Al-Maimuri, N.M.L.; Kadhim, S.A.; Bouabidi, A.; Agyekum, E.B.
Phase change materials (PCMs) are extensively used in different application, although they are characterized by a low thermal conductivity and low melting/solidification speeds. To overcome these challenges, researchers have considered using magnetic fields to improve heating and changing of phase in PCMs and Nanoparticle-enhanced PCMs (NePCMs). The current review intends to analyse the effect of magnetic field on the melting behavior of PCM, heat transfer rates, and energy storage efficiency in different arrangements such as porous cavity, finned tube and rotating systems. The results show that magnetic fields can have a great impact on the PCM behavior. This is attributed to the intensive magnetic field (e.g., Hartmann number Ha = 100), where melting time can be slowed by up to 43 % against buoyancy forces as well as eased by 12–16 % in finned systems due to non-homogeneous magnetic fields. Addition of Nanoparticles (e.g. Fe3O4 at 1 wt%) can also enhance these properties and increase thermal conductivity, thus decreasing melting time by 25 % in magnetic fields. However, it is influenced by the orientation of the field such as horizontal fields suppress convection and vertical fields give rise to convection. The best outcomes involve hybrids, magnetic Nanoparticles in metal foams, where phase transition is decreased by 98 % during rotation Rew = 1000. Key trade-offs of the type where the advantage may be canceled out by higher viscosity at high Nanoparticle loadings are also noted in the review. Finally, it has been stated that magnetic fields have the potential to transform PCM-based technologies, especially in solar energy storage, cooling of electronics, and building efficiency, with the request of better research regarding uniformity of the fields, scaling, and integration in cost-efficient applications. © 2025 Elsevier B.V., All rights reserved.
Application of Nanofluids for Performance Improvement of Plate Heat Exchangers: A Comprehensive Review
(Elsevier Inc., 2025) Rashid, F.L.; Al-Maimuri, N.M.L.; Hammoodi, K.A.; Eleiwi, M.A.; Omle, I.; Mousa Alsayyad, A.M.; Kadhim, S.A.
The demand for efficient thermal management in industries has driven research into nanofluids (NFs) as potential replacements for conventional heat transfer fluids (HTFs) in plate heat exchangers (PHEs). A key challenge is achieving higher heat transfer rates (HTRs) while minimizing pressure drop, which is crucial for improving energy efficiency in industrial processes. NFs are categorized into two types: simple (mono) NFs, such as single-walled (SWCNTs) and multi-walled carbon nanotubes (MWCNTs) dispersed in base fluids, and hybrid NFs, which combine multiple nanoparticles to enhance performance. Studies show that mono NFs improve thermal conductivity, increasing heat transfer coefficients by 6.18%–16.79%. However, their high viscosity and pressure drop remain challenges. In contrast, hybrid NFs demonstrate superior thermal performance, with heat transfer coefficient improvements of up to 39.16% and only a slight increase in pumping power. This suggests they offer an optimal balance between heat transfer enhancement and operational cost efficiency. Critical factors influencing performance include operating parameters, particle concentration, inlet temperature, and flow rate. Future research should explore nanoparticle shape and size through experimental and numerical studies, along with long-term stability and cost-effectiveness in industrial applications. Addressing these areas could unlock NFs' potential to revolutionize heat exchanger technology, leading to more efficient and sustainable thermal systems. © 2025 Elsevier B.V., All rights reserved.
Designing Automatic Card Dispensers Based on Design Thinking Approach and Selecting the Suitable Alternative
(Springer Nature, 2025) Halaç, H.H.; Önaçan, M.B.K.; Önel, T.
The “Historical Game Journey (HGJ) Project,” which aims to transfer cultural heritage to children through gamification, plans to deploy kiosk stations named “Information and Communication Station (ICOS)” at historical sites. Within the ICOS, there is an “Automatic Card Dispenser (ACD)” providing information cards about the historical buildings, and it constitutes a significant cost item in the project budget. In this study, with the aim of saving costs and staying within the budget, the ACD is intended to be developed instead of being purchased as a commercial off-the-shelf (COTS) product. The aim of the study is to design and develop an ACD prototype that optimally meets functional requirements and offers greater cost efficiency, specifically for implementation within the ICOS system. In this context, three alternative ACDs -with similar technologies and software but different operating principles- were designed using the Design Thinking approach, and the most suitable one was selected using the Weighted Evaluation Criteria System (WECS) method. In this way, the cost ratio of the ACD within the project budget was reduced from 21.8% to 2.42%. The developed ACD can be used practically in applications such as card games, educational kiosks and ticket vending machines used in parking lots, public transportation, highways etc. with simple adaptations. © 2025 Elsevier B.V., All rights reserved.
Simultaneous Investigation of SST2, IL-33, and Caspase-3 Serum Levels in Non-Small Cell Lung Cancer
(International Institute of Anticancer Research, 2025) Akdeniz, F.T.; Barut, Z.; Avşar, O.; Arinç, S.; İşbir, T.
Background/Aim: Non-small cell lung cancer (NSCLC) is a type of lung cancer with a high mortality rate. Many molecular and biochemical mechanisms are involved in its development, among which the suppression of tumorigenicity-2 protein (ST2) signaling pathway. Soluble ST2 (sST2) competes with transmembrane ST2 (ST2 ligand) for IL-33 binding. Activation of IL-33/ST2 pathway leads to M2 macrophage polarization, which promotes tumor progression. Since Caspase-3 is implicated in the regulation of IL-33 activity, the present study aimed to analyze the serum levels of IL-33, sST2, and caspase-3 in non-small cell lung cancer patients, compare them with control samples, and simultaneously investigate their predictive capacity. Materials and Methods: In this study, sST2 protein, IL-33, and caspase-3 levels were investigated using the ELISA method in serum samples collected from 25 patients diagnosed with non-small cell lung cancer and 25 completely healthy volunteer individuals. In the study, receiver operating characteristic (ROC) analysis was performed to evaluate the diagnostic power of the biomarkers. Results: Serum IL-33 levels were found to be significantly elevated in patients compared to the control group (p<0.0001). Similarly, the patient group showed significantly higher caspase-3 serum levels than the control group (p<0.030). While sST2 serum levels were higher in the patient group, the difference did not reach statistical significance. The ROC analysis for IL-33 showed an area under the curve (AUC) value of 0.838 [95% confidence interval (CI)=0.725-0.952, p<0.05], indicating that IL-33 is good diagnostic capability for NSCLC. The AUC value for Caspase-3 was 0.678 (95% CI=0.525-0.832, p=0.023), while for sST2, the AUC value was 0.499 (95% CI=0.333-0.665, p>0.05). Conclusion: NSCLC patients are characterized by increased IL-33 and caspase-3 serum levels. These findings suggest that these markers could serve as valuable diagnostic and prognostic indicators, in addition to being potential therapeutic targets. © 2025 Elsevier B.V., All rights reserved.
Scabies Cases at a Dermatological Outpatient Clinic in Türkiye: Effects of the COVID-19 Pandemic
(2025) Atalik, K.; M. Cevik; Kaya, A.D.; Babaoǧlu, ÜT.
INTRODUCTION: Annually, scabies affects more than 400 million people worldwide and is an important public health problem. This study investigated the socio-demographic and clinical characteristics of patients with scabies at a major dermatologic clinic in Turkiye in the context of the COVID-19 pandemic. METHODOLOGY: A retrospective evaluation was performed on outpatients diagnosed with scabies between 2014 and 2022. Statistical analyses were performed using IBM SPSS Statistics 22.0. RESULTS: In total, 759 of the 48,381 patients (1.6%) who visited the dermatology outpatient clinic were diagnosed with scabies. The incidence rate of scabies was 0.5-0.9% before the pandemic, which increased to 3.1-4.4% in 2020-2022. Cases were more common in October-December (36.5%), and 57.9% of patients were 18-44 years old. Those aged 1-6 years showed an increased rate of scabies from 3% to 7.8% during the pandemic. There was no significant difference according to gender or nationality. All patients complained of itching, and 35% had a history of contact with individuals who were diagnosed with scabies. The recurrence rate was 27.3%. Lesions of 73.1% of patients showed a generalized distribution, as well as local lesions on the hands (7.9%), genital area (6.4%), trunk (4.0%), arms (3.0%), legs (2.8%), feet (1.6%), and head (1.2%). CONCLUSIONS: The results emphasize that scabies can develop regardless of age, gender, and ethnicity, and periods such as pandemics may delay diagnosis and treatment, leading to a higher occurrence of the disease. This record is sourced from MEDLINE/PubMed, a database of the U.S. National Library of Medicine
The Prediction of Future Pandemics
(Elsevier, 2025) Ahmadian, A.; Ghaemi, F.; Yadav, A.K.; Ebadi, M.J.; Salahshour, S.
Prediction of the Future Pandemic: Artificial Intelligence and Nanotechnology Approaches provides a comprehensive account of the applications, challenges, and breakthroughs in using AI and nanotechnology for pandemic prediction. The book emphasizes interdisciplinary collaboration among experts and a global perspective on the prediction of future pandemics. Sections provide a comprehensive exploration of cutting-edge methodologies that leverage AI and nanotechnology to predict, analyze, and combat future pandemics. This book aims to bridge the gap between theoretical concepts and practical applications, offering insights into the integration of these advanced technologies for more accurate, timely, and ethical pandemic predictions. © 2025 Elsevier B.V., All rights reserved.
External Validation of the Medical Expulsive Therapy Stone Score (METSS) for Predicting Spontaneous Passage in Proximal and Mid-Ureteral Stones; Proksimal ve Orta Üreter Taşlarında Medikal Ekspulsif Terapi Taş Skoru (METSS) Sisteminin Dış Validasyonu
(Pamukkale University, 2025) Anıl, H.; Karamık, K.; Yıldız, A.; Güzel, A.
Purpose: The medical expulsive therapy stone score (METSS) was developed to assess the success of MET in distal ureteral stones. In this study, we aimed to perform an external validation of the METSS to estimate spontaneous passage in patients with proximal and mid-ureteral stones. Materials and methods: We retrospectively analyzed 62 adult patients with 4-10 mm proximal or mid-ureteral stones treated with medical expulsive therapy (MET) between September 2022 and June 2024. MET consisted of silodosin (4 mg) once daily. Patients were followed weekly for up to four weeks to assess stone passage. METSS scores were calculated, and treatment outcomes were compared. Results: Spontaneous stone passage occurred in 53.7% of the 54 patients who completed the study. Stone size, stone burden, and the METSS score were significantly associated with treatment outcomes. Patients with lower METSSs had higher stone passage rates. The area under the ROC curve (AUROC) for the METSS was 0.674 (p=0.029). The METSS score demonstrated a sensitivity of 76% and specificity of 56%, indicating moderate predictive performance. Conclusion: The METSS scoring system has a moderate ability to predict the spontaneous passage of proximal and mid-ureteral stones. Nevertheless, it may assist clinicians in making informed decisions between conservative and interventional treatment strategies. © 2025 Elsevier B.V., All rights reserved.
Bipolar Intuitionistic Fuzzy Graph Centrality-Based Decision-Making Model to Prioritize Locations for Healthcare Camp during COVID-19
(Elsevier, 2025) Nithyanandham, D.; Augustin, F.; Narayanamoorthy, S.; Ijaz, B.; Ranganathan, S.; Dhivya, S.; Ahmadian, A.
Centrality measure is one of the important tools in graph theory to measure the significance of the vertices in the graph. When uncertainty exists in the vertices and their relations, the fuzzy graph helps to handle such scenarios. Bipolar intuitionistic fuzzy graph is an extension of fuzzy graph, effectively deal with uncertainty by assigning membership and nonmembership degrees in a bipolar perspective. In this chapter, the centrality measures such as degree, in-degree, and out-degree centrality measures in the bipolar intuitionistic fuzzy graph are defined. Additionally, a decision-making model is designed based on the degree centrality measure. Further, an illustration of this model is provided for prioritizing the locations to setup healthcare camp during COVID-19 pandemics. © 2025 Elsevier B.V., All rights reserved.
Enhancing Healthcare Accessibility for Tuberculosis Prevention: A Bipolar Fuzzy ARAS Decision-Making Approach
(Elsevier, 2025) Ezhilarasan, E.; Augustin, F.; Kalaiselvan, S.; Narayanamoorthy, S.; Samy, C.A.; Ranganathan, S.; Dhivya, S.
Tuberculosis (TB) remains a significant global health issue, with the challenges of diagnosing, treating, and preventing it becoming even more complex and uncertain in the aftermath of COVID-19. The pandemic strained healthcare systems worldwide, redirecting resources and focus, which has not only delayed TB diagnosis and treatment but also present big uncertainty in managing the disease. Fuzzy logic, which manages uncertainty and imprecision, is especially useful for analyzing complex issues where precise data is hard to obtain. This study focuses on healthcare accessibility and infrastructure in TB prevention using the bipolar fuzzy ARAS method, which emphasize the utility degree of the ideal solution in positive and negative perspectives. Findings reveal that primary healthcare centers are most crucial as core facilities for initial TB diagnosis, treatment, and continuity of care. © 2025 Elsevier B.V., All rights reserved.
Promoting Patients’ Empowerment in Rheumatic Diseases: The Perspective of the International Society of Behçet’s Disease Working Group on Patient Empowerment, Adherence to Therapy and Patients’ Education
(Clinical and Experimental Rheumatology S.A.S., 2025) Di Cianni, F.; Marinello, D.; Altenburg, A.; Karaçayli, U.; Emmi, G.; Schirmer, M.; Mumcu, G.
Behçet’s disease (BD) is a rare multisystemic vasculitis that significantly impacts patients’ quality of life. Effective management of BD requires a patientcentred approach that empowers individuals to actively participate in their care. This work explores the importance of patient empowerment, adherence to treatment, and patient education in BD. The impact of BD on quality of life (QOL) is significant, affecting both physical and psychological well-being. QOL measures are essential in capturing the full burden of the disease from the patient’s perspective, helping guide interventions that can improve disease management. Moreover, treatment adherence remains a major challenge due to various factors, including medication complexity, fear of side effects, and patient perceptions of their health status. Empowerment strategies, including education and emotional support, are crucial to improving adherence and reducing healthcare costs. Empowering BD patients involves fostering a collaborative relationship between healthcare providers and patients, promoting shared decision-making and enhancing patients’ knowledge and skills to manage their condition. Patient education plays a crucial role in empowering patients by providing them with accurate information about the disease, treatment options, and self-management strategies. The International Society for Behçet’s Disease Working Group on Patient Empowerment, Adherence to Therapy, and Patient Education aims to address these issues by developing global strategies to empower BD patients, caregivers and healthcare providers. This initiative promotes collaboration across the BD community, ultimately leading to better patient outcomes and serving as a model for similar efforts in other disease areas. © 2025 Elsevier B.V., All rights reserved.
Clinical Pilates Impact on Pain, Joint Mobility, and Scapular Dyskinesia in Chronic Neck and Shoulder Pain Patients
(Ataturk Universitesi, 2025) Şimşek, T.; Atici, E.; Sürenkök, Ö.
Objective: The present study aimed to investigate the effects of clinical Pilates on pain intensity, joint range of motion (ROM), and scapular dyskinesia in individuals with chronic neck and shoulder pain. Method: A total of 28 participants with chronic neck and shoulder pain were enrolled in the study. The intervention consisted of clinical Pilates exercises conducted twice weekly over a period of eight weeks under the supervision of a physiotherapist. Pain intensity was measured using the Visual Analog Scale (VAS). Cervical and glenohumeral joint range of motion were assessed with a standard goniometer. Scapular dyskinesia was evaluated using the Lateral Scapular Slide Test (LSST). Results: Following the intervention, a statistically significant reduction in pain intensity was observed (p<.05). Cervical ROM improved significantly in all directions (p<.05). Significant gains in shoulder ROM were also noted, except for internal rotation and adduction, which did not reach statistical significance (p>.05). Additionally, there was a significant improvement in scapular positioning as indicated by a reduction in scapular dyskinesia scores on the LSST (p<.05). Conclusion: The results suggest that clinical Pilates may be an effective therapeutic approach for reducing pain, enhancing joint mobility, and improving scapular stability in individuals suffering from chronic neck and shoulder pain. These findings support the incorporation of clinical Pilates into rehabilitation programs targeting neuromusculoskeletal dysfunctions of the cervical and shoulder regions. © 2025 Elsevier B.V., All rights reserved.
Mapping Ghana’s Renewable Energy Research Landscape: A Bibliometric Insight into Trends, Progress, and Policy Relevance for Sustainable Development
(Taylor and Francis Ltd., 2025) Odoi-Yorke, F.; Bain, J.; Agyekum, E.B.; Dzebre, D.E.K.; Sekyere, K.K.; Quansah, D.A.; Adaramola, M.S.
Despite its abundant renewable energy resources, Ghana faces energy access and sustainability challenges. Although policy interventions have been introduced to accelerate renewable energy development, a limited understanding of the academic research underpinning these efforts exists. This study provides the first bibliometric analysis of renewable energy research in Ghana, using 701 Scopus-indexed publications (1996–2024) and applying the Bibliometrix R package and VOSviewer software. The results reveal an annual publication growth rate of 15.46%, with contributions from 2,197 authors across 391 sources. Research output shows high collaboration, averaging 4.84 co-authors per document and a 60.77% international cooperation rate. Thematic evolution indicates a shift from early biofuel-focused studies toward diverse themes such as solar photovoltaics, waste-to-energy, green hydrogen, and machine learning applications. Key emerging frontiers include hydropower-solar hybrid systems, digitalisation, and techno-economic assessments of rural electrification. However, research productivity remains concentrated among a few institutions and researchers, and rural energy access and affordability issues are underexplored. These findings provide actionable insights for policymakers, researchers, and development partners to align future research with Ghana’s national energy agenda and global climate commitments, accelerating a sustainable, inclusive, and low-carbon energy transition. © 2025 Elsevier B.V., All rights reserved.
A Scientific Evaluation for Military Medical Services in the Russia-Ukraine War
(Janbazan Medical and Engineering Research Center, 2023) Özmen, Ö.; Özmen, P.
Aims The study aimed to evaluate military medical services, identify problems, and develop suggestions, evaluating medical services in the Russia-Ukraine War as hybrid warfare. Information & Methods This systematic review was conducted by examining scientific articles published between 2021 and 2023, obtained by searching the sentences “Military Health Services in the Russia-Ukraine War” and “War Casualties in the Russia-Ukraine War.” Additionally, military medical literature and military medical news from China, Iran, the United Kingdom, Belarus, and the United States were examined and interpreted. Findings The Russia-Ukraine war differs from conventional wars and counterterrorism operations regarding military healthcare. Diversity of front depth, frequency of mass and polytrauma, difficulties in medevac, and the loss of medical personnel were found to be noteworthy as the main problems for both Russia and Ukraine in this expanding hybrid war. Attacks on health facilities and medical personnel were also one of the basic attack strategies in this war, as in all wars. Conclusion Medical examination and vaccination for attending to the army, medevac distances, the safety of medevac routes, loss of medical facilities and medical personnel, lack of communication between medical units, the load of medical facilities deployed in route migration mandatorily, non-standardized first aid applying and absence of medical intelligence are main problem areas about medical services in Russia -Ukraine War. It has been stated that the military medical system is an important power protector and “Force Multiplier”. © 2025 Elsevier B.V., All rights reserved.
E-HRM as a Reality in Virtual World
(IGI Global, 2009) Yamamoto, G.T.; Özbek, A.
The human resources (HR) profession has had a rich history: that is, from the concept of labor unions in 1930 to the creation of selection tools in 1940 then to the reward systems in 1970 shifting to teamwork and then to partnerships in 1990. After the 1990s, like all other businesses, HR also influenced the Internet revolution. Classical human resources management (HRM) concerns the recruitment, selection, development, compensation, retention, evaluation, and promotion of personnel within an organization (Bernardin & Russel, 1993), which could be mostly transferred to the virtual world. Therefore, the HR profession faces an important challenge with new e-HRM and virtual actions encountered in the business world. This chapter examines the e-HRM phenomenon in the virtual world in detail and tries to bring new angles to e-HRM, and then manifests new definitions for the new reality while changes and interactions take place in the virtual world. © 2025 Elsevier B.V., All rights reserved.
Solow-Swan Model and Growth Dynamics: Moving Forward
(Springer Int Publ Ag, 2025) Ferrara, Massimiliano
This note in the Milestones series is dedicated to the Solow-Swan model. The aim is to examine the historical significance and enduring impact of the Solow-Swan neoclassical growth model, independently developed by Robert Solow and Trevor Swan in 1956. The model revolutionized economic growth theory by introducing a framework explaining long-term growth through capital accumulation, labor growth, and technological progress. We explore the model's theoretical foundations, influence on subsequent literature, empirical applications, and ongoing relevance. The paper presents novel extensions with discrete time delays that provide insights into cyclical economic phenomena, demonstrating how time-to-build technology can generate endogenous fluctuations within the otherwise stable Solow framework.
Optimization of the Air Pollution Mitigation Model Using Intuitionistic Fuzzy Trapezoidal Preference Relations and Grey Relational Analysis
(Springer India, 2025) Touqeer, Muhammad; Gilani, Syeda Sadia; Ahmadian, Ali; Salimi, Mehdi
Addressing the pressing issue of air pollution requires sophisticated decision-making frameworks that can effectively prioritize mitigation strategies. However, existing literature falls short in providing comprehensive models that integrate intuitionistic fuzzy trapezoidal preference relations (IFTrPRs) with robust ranking methods. This study bridges this gap by introducing a novel framework that synergizes IFTrPRs with Grey Relational Analysis (GRA) and projection methods to derive priority weight vectors and compare alternatives. A key contribution of this research is the development of an optimization model for determining priority weights from IFTrPRs, which ensures multiplicative consistency. By integrating this model with GRA and projection methods, our framework provides a robust decision-making tool that can accurately handle uncertain situations and provide reliable results. The proposed framework is demonstrated in a real-world air pollution mitigation scenario, showcasing its effectiveness and superiority over existing techniques. By integrating IFTrPRs with GRA, this study offers a pioneering approach to tackling environmental challenges, contributing to the development of more effective strategies for air pollution mitigation.
Prevalence of Left Kidney Vein Entrapment Signs on Computed Tomography Angiography Images of Kidney Donors
(Via Medica, 2025) Atli, Eray; Ferhatoglu, Murat Ferhat; Gurkan, Alp
Background: The nutcracker phenomenon (NC-P) is the entrapment of the left kidney vein (LKV) between the superior mesenteric artery and the abdominal portion of the aorta. We aimed to evaluate the frequency of significant left renal vein compression in a healthy population. Materials and methods: The computed tomography angiography images of 131 healthy patients who underwent living kidney donor nephrectomy at our institution were enrolled in this retrospective, descriptive anatomic study. Results: Three (2.3%) cases had severe stenosis, and 26 (19.8) cases had moderate stenosis. The mean aorto-mesenteric angle was narrower in females (p < 0.05). The mean LKV diameter ratio and beak angle were shorter and narrower in females (p < 0.05, p < 0.01, respectively). Thirteen cases (9.9%) showed 3 or 4 positive criteria for NC-P. Younger pateitns and those with body mass index (BMI) < 30 kg/m(2) had increased rates of positive criteria determination (p < 0.05, p < 0.01, respectively). Conclusions: The NC-P criteria were seen with a high frequency in healthy individuals. Female and younger individuals with lower BMI showed a greater prevalence of positive criteria. Revision of the current standards for NC-P with a distinct classification between sex, age, and BMI is required to better assess LKV compression.
PRP and Diced Cartilage-Enhanced Fascia Lata: A Composite Graft for Septal Perforation Repair
(Sage Publications Inc, 2025) Hanci, Deniz; Onaran, Oyku Izel; Altun, Huseyin; Bozer, Berke Berat; Gurpinar, Berk; Obuz, Mert; Uyar, Yavuz
Objective: Nasal septal perforation (NSP) is characterized by defects in the mucosal, cartilaginous, and bony structures of the septum, most commonly resulting from septoplasty. Spontaneous healing of NSPs is rare, necessitating surgical intervention once the condition stabilizes. Numerous techniques have been developed for NSP repair. This study presents a novel technique combining fascia lata grafts, platelet-rich plasma (PRP), and diced septal cartilage harvested from the patient's remaining deviated nasal septum for the repair of medium-sized NSPs.Methods: A retrospective analysis was conducted on 32 patients who underwent NSP repair between July 2022 and July 2023. The repair utilized fascia lata, PRP derived from venous blood, and diced cartilage from residual septal cartilage. The procedure involved an open rhinoplasty approach for graft placement, followed by stabilization using endoscopic techniques.Results: The mean horizontal and vertical diameters of the septal perforations were 12.06 +/- 2.87 mm and 13.12 +/- 2.44 mm, respectively. All patients had medium-sized perforations (0.5-2 cm). The mean follow-up period was 12.03 +/- 1.11 months. Complete closure was achieved in 28 of 32 cases (87.5%). The cohort included 18 males (56.3%) and 14 females (43.8%), with a mean age of 35.47 +/- 5.31 years (range: 25-45). Ten patients (31.3%) were smokers, among whom 4 experienced incomplete closure. Smoking was not significantly associated with repair failure (P = .06).Conclusion: This novel technique combining fascia lata, PRP, and diced septal cartilage offers a reliable and effective approach for the repair of medium-sized NSPs.

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