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    Telescopic forklift selection through a novel interval-valued Fermatean fuzzy PIPRECIA-WISP approach

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    Telescopic forklifts stand apart from other forklift types, boasting numerous benefits. They offer notable advantages, such as enhanced manoeuvrability, accessibility to elevated areas, versatility, and the capacity to operate at high speeds. Choosing appropriate telescopic forklifts can substantially enhance operational efficiency and efficacy within the industry. Concurrently, it can bolster business competitiveness by expediting logistical processes, yielding notable cost reductions. Nonetheless, the intricacy and specificity inherent in these machines complicate the decision-making process for stakeholders. Furthermore, conflicting criteria, the continuous evolution of manufacturers' models, and the industry's intricate nature compound the selection challenges. Hence, there is a pressing need for a resilient, dependable, and practical decision-making framework capable of adeptly navigating uncertainties to yield reliable and coherent outcomes. This study aimed to develop an integrated decision-making model based on interval-valued Fermatean fuzzy (IVFF) sets to respond to these requirements and address this critical decision-making problem in the relevant industry, which is also significantly affected by complex uncertainties. This work, therefore, introduces an integrated methodology for decisionmaking, IVFF-PIPRECIA and IVFF-WISP techniques. IVFF-PIPRECIA determines criteria importance weights, whereas IVFF-WISP identifies optimal alternatives. A case study in the textile industry validates the framework's practicality. Purchase price emerges as the primary criterion, exceeding 500 thousand euros for telescopic forklifts, followed closely by load-carrying capacity. The second alternative proves to be the best option. Comparative and sensitivity analyses confirm the model's credibility. The approach effectively handles decisionmaking uncertainties, yielding competitive outcomes. It can be applied to diverse engineering problems. Insights from this study assist users in selecting optimal equipment and may inform forklift manufacturers in improving machinery. Future research could focus on establishing real-time operational data collection frameworks for these vehicles

    Evaluation of peripheral blood inflammatory biomarkers in sickle cell disease with and without retinopathy

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    Background The aim of this study was to evaluate the clinical significance of blood-cell associated inflammation markers in patients with sickle cell disease (SCD) and sickle cell retinopathy (SCR). Methods Neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), monocyte to lymphocyte ratio (MLR), systemic immune inflammation index (SIII), systemic inflammation response index (SIRI), systemic inflammation modulation index (SIMI) and aggregate systemic inflammation index (AISI) were calculated. This study included 45 healthy controls (Group 1) and 100 SCD (Group 2). Patients in Group 2 were then divided into two groups: without SCR (Group 3) and with SCR (Group 4), and patients with SCR (Group 4) were further divided into two groups: non-proliferative sickle cell retinopathy (NPSCR) (Group 5) and proliferative sickle cell retinopathy (PSCR) (Group 6). Results The mean values for NLR, PLR, SIII, SIRI, AISI, and SIMI were significantly higher in Group 2 compared to Group 1 (p = 0.011 for NLR, p = 0.004 for SIII, and p < 0.001 for others). Furthermore, AISI and SIMI parameters demonstrated statistically significant discriminatory power to distinguish Group 5 from Group 6 (p = 0.0016 and p = 0.0006, respectively). Conclusion Given the critical role of inflammatory mechanisms in the pathogenesis of SCD and its related complications, the assessment of blood-cell-associated inflammatory markers may present a pragmatic and advantageous approach to the clinical oversight and therapeutic intervention of SCD.Scientific and Technological Research Council of Turkiye (TUEBITAK)Open access funding provided by the Scientific and Technological Research Council of Turkiye (TUEBITAK). No funding was received for this research.Open access funding provided by the Scientific and Technological Research Council of Turkiye (TUEBITAK)

    SNP Markers Associated with Some Root, Stolon, and Tuber Traits in Tetraploid Potatoes (Solanum tuberosum L.) Grown Under Diverse Growing Systems

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    Numerous loci, environmental factors, and their interactions have an impact on the phenotypic diversity of several significant traits in plants. One approach put forth in recent years for genetic research and finding quantitative trait loci (QTLs) responsible for the specific trait is association mapping. The purpose of the current study was to pinpoint the genetic underpins of significant underground traits in potato. A panel of 192 diverse tetraploid potato genotypes from different countries were grown under different growing conditions (i.e., aeroponics and pot) to study root, stolon and tuber traits. Significant differences (P <= 0.01) were found between the genotypes for all examined traits, and the heritability (H-2) of the traits ranged from 0.74 to 0.94. Genotyping was carried out using the SolCAP 25K array. 21,226 polymorphic SNPs were used for association mapping of underground traits. A GWASpoly R package was implemented for the marker-trait associations, and 78 genomic regions were found associated with the traits under investigation.. The history of potato breeding was reflected in LD patterns. The identified SNPs have their putative gene functions related to the root and stolon architecture and tuber growth (i.e., WRKY transcription factor, MAPK, the GTP cyclohydrolase 1 (i.e., GTPCHI), Glutathionyl-hydroquinone reductase, and pyrophosphate-fructose 6-phosphate 1-phosphotransferase subunit alpha (PFPase). The results of the present study provides a framework that could be helpful for future potato breeding programs to increase tuber production and reduce the challenges of feeding the world's population in the years to come.Nigde Omer Halisdemir University [115O949]; Scientific and Technological Research Council of Turkey (TUBITAK)The Scientific and Technological Research Council of Turkey (TUBITAK) financially supported this study through Project # 115O949. The current paper belongs to the Ph.D. thesis of the corresponding author. He would also like to thank my colleagues for helping in the acquisition of phenotyping data

    An analysis of air quality in Pristina city center and its relation to traffic-derived air pollution emission

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    Fen Bilimleri Enstitüsü, Ulaştırma Mühendisliği Ana Bilim Dalı, Ulaştırma Bilim DalıBu çalışma, Priştine kenti taşıt emisyonlarını tahmin etmek için veri toplanma, işleme ve modelleme çalışmalarını içermektedir. İlk aşamada, beş farklı taşıt ve dokuz sürücülerden OBD cihazları kullanılarak saniye bazlı hız ve konum verileri toplanmıştır. Toplanan veriler temizlenmiş, hatalı veriler çıkarılmıştır. Ardından geliştirilen ardışık üç nokta algoritması ile mikro-yolculuklar belirlenmiş ve k-means kümeleme yöntemi ile sınıflandırılmıştır. Bu yolculuklardan 1780 saniyelik bir sürücü çevrimi oluşturulmuştur. Analiz sonuçlarına göre, Priştine sürücülerinin Avrupa standart sürücü çevrimlerine kıyasla daha agresif taşıt kullandıkları görülmüştür. Ayrıca dönel kavşaklarda ortalama hızların diğer kavşak türlerine göre daha yüksek olduğu tespit edilmiştir. Priştine kentindeki kayıtlı 55498 taşıt 2020 yılı baz alınarak MOVES modeli ve Monte-Carlo simülasyonu kullanılarak emisyon tahmini için kullanılmıştır. Sürücü çevrimine dayalı modele göre ortalama otomobil başına emisyonlar; CO için 48 g, HC için 1.22 g ve NOx için 2.32 g bulunmuştur. SUMO yazılımına bütünleştirilen MOVES modelinde ise bu değerler sırasıyla 43 g, 0.81 g ve 1.84 g olarak tahmin edilmiştir. HBEFA4 modelinin ise CO ve HC değerlerini oldukça düşük tahmin ettiği görülmüştür. Sonuç olarak, gelişen motor teknolojilerine sayesinde artan trafiğe rağmen emisyon seviyelerinin aynı kaldığı bulgusuna ulaşılmıştır.This study presents a comprehensive analysis of vehicle emissions in Pristina, Kosovo, including data collection, processing, and modelling. In the first stage, second-by?second speed and position data were collected from five different vehicles and nine drivers using OBD devices. The collected data was cleaned and erroneous data was removed. Then, micro-trips were identified using the developed three-point consecutive algorithm and classified using the k-means clustering method. A driver cycle of 1780 seconds was created from these trips. The analysis results showed that Pristina drivers tend to drive more aggressively compared to European standard driver cycles. It was also found that average speeds at roundabouts are higher than other intersection types. The MOVES model and Monte-Carlo simulation were used to estimate emissions for 55498 registered vehicles in Pristina city based on the year 2020. According to the model based on the driver cycle, average per-vehicle emissions were found to be 48 g for CO, 1.22 g for HC, and 2.32 g for NOx. In the MOVES model integrated with SUMO software, these values were estimated as 43 g, 0.81 g, and 1.84 g, respectively. The HBEFA4 model was found to underestimate CO and HC values considerably. In conclusion, it was found that despite the increasing traffic, emission levels remained the same due to advances in engine technologies

    Examination of removal of some metal ions and dyes from aqueous solutions by Koelreuteria paniculata seed/nano cobalt ferrite composite

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    Fen Bilimleri Enstitüsü, Kimya Ana Bilim DalıMetal iyonlarının ve boyar maddelerin yüksek miktarlarda ve yeterli arıtma işlemlerinden geçirilmeden doğaya salınması nedeniyle meydana gelen su kirliliği, günümüzün en önemli çevre sorunlarının başında gelmektedir. Çevre kirliliğine neden olan en önemli faktörler arasında yer tutan ağır metaller ve boyar maddeler insan sağlığı ve ekosistem için büyük bir tehdit oluşturmaktadır. Dolayısıyla, bu tehlikeli kirleticilerin giderimi için yenilikçi, ekonomik, geri dönüştürülebilir ve çevre dostu yöntemlerin kullanılması önem taşımaktadır. Bu projede, park ve bahçelerde, yol kenarlarında oldukça çok bulunan bir peyzaj ağacı olan güvey kandil ağacı veya fener ağacı olarak da bilinen ve çeşitli biyoaktif fitokimyasallar içeren Koelreuteria paniculata ağacının yaprak ekstraktı kullanılarak yeşil sentez yöntemiyle kobalt ferrit sentezi gerçekleştirilecek; daha sonra Koelreuteria paniculata tohumlarının, elde edilen kobalt ferrit ile modifikasyonu ile sudan kolay ayrılabilirlik ve yeniden kullanılabilirlik özelliklerine sahip, düşük maliyetli bir manyetik adsorban hazırlanacak; ve elde edilen manyetik adsorbanın, boyar madde ve çeşitli metal iyonlarının sulu ortamdan uzaklaştırmadaki etkinliği incelenecektir. Elde edilen manyetik adsorbanın boyar madde ve çeşitli metal iyonlarının sulu ortamdan uzaklaştırılmasında, optimum koşullarını belirlemek amacıyla kirleticinin başlangıç derişimi, adsorban miktarı, pH, temas süresi gibi parametrelerin etkisi araştırılacaktır. Bu parametreler, her seferinde tek değişken değiştirilerek incelenecektir. Ayrıca manyetik adsorbanın tekrar kullanılabilirliği araştırılacaktır. Bu projede; elde edilecek olan manyetik adsorban SEM, EDX, FTIR, XRD gibi analizler ile karakterize edilecektir. Sulu fazdaki boyar madde derişimleri, UV Spektrofotometresi ile, metal iyonu derişimleri ise Alevli Atomik Absorpsiyon Spektrometresi ile tayin edilecektir.Due to the release of high amounts of metal ions and dyes into the environment without undergoing sufficient purification processes, water pollution has become one of the foremost environmental issues of our time. Heavy metals and dyes, which occupy a prominent place among the key factors causing environmental pollution, pose a significant threat to human health and ecosystems. Therefore, the use of innovative, economical, recyclable, and environmentally friendly methods is crucial for the removal of these hazardous pollutants. In this project, green synthesis of cobalt ferrite will be carried out using the leaf extract of Koelreuteria paniculata, a landscape tree commonly found in parks, gardens, and along roadsides, also known as the Pride of India or Goldenrain Tree, which contains various bioactive phytochemicals. Subsequently, a low-cost magnetic adsorbent with easy separability and reusability properties will be prepared by modifying Koelreuteria paniculata seeds with the obtained cobalt ferrite through the green synthesis method. The effectiveness of the resulting magnetic adsorbent in removing dyes and various metal ions from aqueous solutions will be investigated. To determine the optimum conditions for the removal of pollutants, parameters such as initial concentration of the pollutant, adsorbent dosage, pH, and contact time will be examined by varying one parameter at a time in each experiment. Additionally, the reusability of the magnetic adsorbent will be explored. In this project, the obtained magnetic adsorbent will be characterized through analyses such as SEM, EDX, FTIR, and XRD. The concentrations of dyes in the aqueous phase will be determined using UV Spectrophotometry, while the concentrations of metal ions will be determined using Flame Atomic Absorption Spectrome

    Histone deacetylase inhibitory properties of metabolites from leaves of Quercus pontica K. Koch and its metabolites

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    The infusions prepared from some Quercus L. species are used in folk medicine for medicinal purposes and consumed as tea. Quercus pontica K. Koch was selected in this study, for which no phytochemical isolation studies have been performed so far. Quercetin 3-O- beta-D-glucopyranoside, kaempferol 3-O-(6-O-galloyl)-beta-D-glucopyranoside, kaempferol 3-O-beta-D-glucopyranoside, kaempferol 3-O-(6'-coumaroyl-beta-D-glucopyranoside, phlorizin, rosmarinic acid, and catechin were isolated from the titled plant for the first time. Some polyphenolic compounds have been shown to inhibit histone deacetylase (HDAC) enzymes. However, there is no study on the any activities of Quercus species in the literature. In this study, we demonstrated that the extract has in vitro pan-HDAC inhibition activity. Through a virtual screening study, the compounds were found to inhibit HDAC7 more strongly than the other HDAC isoforms; therefore, the HDAC7 inhibition activities were studied in vitro. Kaempferol 3-O-beta-D-glucopyranoside and kaempferol 3-O-(6'-coumaroyl-beta-D-glucopyranoside) showed the best anti-HDAC7 activity with 37% and 41% inhibition at 500 mu M.Scientific Research Foundation of Hacettepe University, Turkey [THD-2019-18495]; Scientific Grant Agency of the Slovak Republic VEGA [2/0118/23]; Operational Program Integrated Infrastructure for the project: Development of products by modification of natural substances and study of their multimodal effects on COVID-19 [ITMS: 313011ATT2]; European Regional Development FundThis research was supported by the Scientific Research Foundation of Hacettepe University, Turkey [Project number THD-2019-18495] and the Scientific Grant Agency of the Slovak Republic VEGA [Project number 2/0118/23]. This publication was created with the support of the Operational Program Integrated Infrastructure for the project: Development of products by modification of natural substances and study of their multimodal effects on COVID-19, ITMS: 313011ATT2, co-financed by the European Regional Development Fund

    Exploring the Caves as Shelters, Sacred Spaces, and Photography Subjects

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    Caves are underground cavities with unique structures that form over time due to various forces, including geochemical and tectonic processes, water erosion, and hydrothermal activity. From past to the present humans have used caves for many different purposes such as shelter, dungeon, place of worship, cold storage, therapy, treatment of respiratory diseases, use of underground water, tourism, etc. Since caves are protected places, they are also the places where the oldest known works of art of mankind are located. The wide range of uses of caves, their dark and closed structures, and the different roles they have played throughout history, have always made them places of curiosity, discovery, and artistic creation. In this study, caves, which serve as shelters, were examined in terms of their role in human life, the emotions they evoke, their status as sacred places, and their representation through photography

    HYDROCHEMICAL EXAMINATION OF UNDERGROUND LEAKAGE WATER SPREAD FROM OPEN LANDFILL IN AKSARAY CITY IN TURKEY AND DETERMINATION OF ITS LOCATION. CASE STUDY

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    Uncontrolled dumping of open landfills has been becoming a significant threat to developing countries. The areas where solid wastes are stored increase the risk of groundwater and environmental pollution. Groundwater pollution causes poisoning and even death in terms of public health. This study investigated the impact area of pollutants that pose environmental risks in the Hamamboğazı (Aksaray Turkey) landfill area. Six vertical electrical sounding (VES) measurements were made in the study area. The direction of the leakage water is southwest, and the penetration depth is 15 m. The electrical conductivity reaching high values such as 4160–7900 ?S/cm shows the polluting effect of the leachate. Heavy metals detected in leachate were Cu (0.183 mg/dm3), Pb (0.234 mg/dm3), Zn (0.33 mg/dm3), and Fe (3.179 mg/dm3). © 2024 Wroclaw University of Science and Technology. All rights reserved

    The Next Generation in Communication Technology: Roadmap to 6G

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    6th Global Power, Energy and Communication Conference (GPECOM) -- JUN 04-07, 2024 -- Budapest, HUNGARYSince the last quarter of 2022, studies on fifth-generation (5G) communication systems have been conducted under the name of beyond 5G studies. With the standardization of 5G communication systems, researchers have intensified their work on communication technologies beyond the 5G. The rapid advancements in communication technology have prompted 5G studies to focus on mapping out the roadmap for sixth-generation (6G) communication, which will be the next communication technology. This includes determining the vision and requirements for this new technology. This study investigates the developments in mobile communications from the first generation (1G) to the 5G, the main technologies and challenges in the fifth generation, and the expectations for 6G. It is expected that 6G will be operational by 2030 according to many researchers, countries, and companies.IEE

    Investigation of hydrogen storage potential of two dimensional materials, metal hydrides and their compositions

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    Fen Bilimleri Enstitüsü, Makine Mühendisliği Ana Bilim DalıTez kapsamında, farklı basınçlarda yığın formda ve sıvı faz ayrıştırma yöntemiyle tabakalarına ayrıştırılmış iki boyutlu malzemeler ile kompozisyonlarının, 1, 3, 5, 7, 9 bar hidrojen basıncında hidrojen depolama özellikleri incelenmiştir. Aynı zamanda metal hidrür grubunda yer alan LiH, NaH, bilyalı öğütülmüş LiH ve NaH gibi malzemelerin hidrojen depolama özellikleri aynı basınçlar altında incelenmiştir. Bu bağlamda sıvı faz ayrıştırma yöntemiyle tabakalarına ayrıştırılmış iki boyutlu malzemelerin ve bilyalı öğütülmüş metal hidrürlerin hidrojen depolama yeteneklerinin arttığı belirlenmiştir. Ayrıca hidrojen basıncı artışıyla birlikte tüm malzeme grupları için hidrojen depolama kapasitelerinin arttığı belirlenmiştir. Kompozisyon oluşturma ile birlikte hidrojen depolama performansı MoS2+grafen için artmıştır. Çalışmada aynı zamanda çeşitli malzemelerin PEM yakıt hücresi uygulamalarındaki performanslarını incelemiştir. Bu çalışma, iki boyutlu malzemelerin ve kompozisyonlarının hidrojen depolama için potansiyel malzemeler olduğunu göstermektedir. Elde edilen sonuçlar, hidrojen depolama teknolojilerinin geliştirilmesine katkıda bulunabilecek niteliktedir.Within the scope of the thesis, hydrogen storage properties of two-dimensional materials and their compositions in bulk form at different pressures and separated into layers by liquid phase separation method were investigated at hydrogen pressures of 1, 3, 5, 7, 9 bar. At the same time, the hydrogen storage properties of materials in the metal hydride group such as LiH, NaH, ball milled LiH and NaH were investigated under the same pressures. In this context, it was determined that the hydrogen storage capabilities of two-dimensional materials and ball milled metal hydrides, which were delaminated by liquid phase separation method, increased. It was also determined that hydrogen storage capacities increased for all material groups with increasing hydrogen pressure. Hydrogen storage performance increased for MoS2+graphene with composition formation. The study also examined the performance of various materials in PEM fuel cell applications. This study shows that two-dimensional materials and their compositions are potential materials for hydrogen storage. The results obtained can contribute to the development of hydrogen storage technologies

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