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Assessment of nonchemical weed management of windmill palm (Trachycarpus fortunei) nursery
Get PDFThe windmill palm is a distinctive outdoor ornamental palm adapted to cooler climates. Weeds pose significant challenges in palm nurseries, particularly during seedling and establishment stages. This research was conducted in a nursery with 5,500 windmill palm seedlings, starting in April 2014, when the palm trees were 3 yr old. Experiments were terminated in October 2018 when weed control was no longer necessary due to the advanced growth of the palm trees. The objectives of this study were to determine the weed composition and diversity, elucidate the effects of mechanical weed management (MWM) on growth rate of palm, and develop a sustainable program to maximize palm tree growth through effective weed management and soil tillage. Few herbicides are registered for nursery use in T & uuml;rkiye, thus weed control was performed mechanically using garden hoeing machines between rows and hand hoeing for intrarow strips. The most common and dense weeds were purple nutsedge, annual mercury, and common purslane in summer and autumn, and burning nettle in winter and spring. In 2014, weed densities were 100, 127, and 145 weeds m-2 for MWM, hand-weeding (HW), and nontreated (NT) plots, respectively. Transplanted palm seedlings required at least two, ideally three growing seasons of intensive weed control until the palm tree crowns block sunlight and suppress weed growth. The research indicated that palm trees in the MWM treatment had approximately 84 leaves and a height of 210 cm by October 2018, compared with 54 leaves and a height of 136 cm for HW, and 40 leaves and 100 cm height for NT. These results highlight the critical role of MWM in promoting optimal growth of Chinese windmill palms. Effective and sustainable weed management, combining MWM and HW, is essential for producing high-quality palm trees. The research provides valuable insights for nursery managers and contributes to best practices for cultivating windmill palm trees in similar climatic regions
Implementation of enhanced recovery in women undergoing cesarean delivery improves breastfeeding and maternal perioperative outcomes
Get PDFObjective The study aimed to evaluate delivery outcomes after implementation of the Enhanced Recovery After Surgery (ERAS) protocol in patients delivered by cesarean section (CD). Materials and Methods This randomized controlled prospective study was conducted on 78 pregnant women who underwent CD with the ERAS protocol and 78 pregnant women who under went standard perioperative care. We compared the time to first flatus, visual pain score (VAS), the success of breastfeeding, time to initiation of breastfeeding, time to return to daily activities, hemoglobin values, the incidence of postoperative nausea and vomiting, hospital readmission rates, postoperative wound infection rates, incidence of postpartum blues, and the need for blood transfusion between two groups. Results Time to first flatus, VAS score, time to initiation of breastfeeding, and time to return to activities of daily living were significantly lower in the ERAS group (p<0.001 for all). The rate of successful breastfeeding was significantly higher in the ERAS group (p<0.001). Both groups were similar in terms of other parameters. Conclusion Implementation of ERAS after CD shortens the breastfeeding initiation time and increases rates of successful breastfeeding. ERAS protocols implemented in CD improve perioperative outcomes such as visual pain score and time to resume daily activities
Nano-reinforced adhesives: Effects of graphene, silica, and cellulose on mechanical properties of laminated wood materials
No full textThis study investigated the effects of graphene, silica, and cellulose nanoparticles on the mechanical properties of laminated wood specimens using polyvinyl acetate (PVAc), urea-formaldehyde (UF), and epoxy (EPX) adhesives. Poplar (Populus nigra) and beech (Fagus sylvatica) veneers (4 mm thick) were bonded using adhesives enhanced with varying concentrations of nanoparticles: graphene (0.25 % and 0.50 %), silica (1 % and 2 %), and cellulose (1 % and 2 %). The laminated wood specimens were tested for modulus of elasticity (MOE), modulus of rupture (MOR), compressive strength (CS) and bonding strength (BS). The results showed that the EPX yielded the highest mechanical strength, followed by UF, while PVAc exhibited the lowest. The addition of all nanoparticles improved performance compared to the base adhesives. Graphene additions significantly improved MOE, MOR, and CS, while cellulose and silica primarily enhanced BS strength. Generally, increasing nanoparticle concentration enhanced mechanical properties, with the exception of BS, which decreased with higher silica concentration. These results demonstrate the potential for tailoring laminated wood properties by selecting specific nanoparticle types and concentrations, offering opportunities for optimized and potentially more sustainable material utilization across diverse applications, from furniture to structural components.Duzce University Scientific Research Projects FundThis study was supported by Duzce University Scientific Research Projects Fund (Project No: BAP-2021.07.01.1149) . The authors would like to thank the Duzce University Scientific Research Projects Fund
İmalat Yürütme Sistemlerine Genel Bakış ve Bir İmalat Firmasında Toplam Ekipman Etkinliği Analizi
Get PDFMES (Manufacturing Execution System) is a software system that provides real-time monitoring, regulation and control of manufacturing processes by establishing a digital bridge between machines, employees and processes in the manufacturing field. With digital transformation and technological developments, many processes in businesses have become computer-based. This has made it possible to remotely control devices, exchange data and optimize processes. MES systems play a critical role in increasing efficiency in production, reducing errors and improving resource utilization. However, despite this, the MES usage rate in Türkiye is still low and lags behind the global average. This situation reveals that domestic businesses need to show more interest and invest in MES systems in the digitalization process. This study covers basic information about MES, standards and communication protocols related to the systems; and also, with the Total Equipment Effectiveness (OEE) analysis carried out in a sample company, improvement areas for efficiency increase, causes of production losses and solution suggestions are revealed. The findings are aimed to raise awareness and contribute to future academic research and industrial applications.MES (Manufacturing Execution System) imalat alanındaki makineler, çalışanlar ve süreçler arasında dijital bir köprü kurarak; imalat süreçlerinin gerçek zamanlı izlenmesini, düzenlenmesini ve control edilmesini sağlayan bir yazılım sistemidir. Dijital dönüşüm ve teknolojik gelişmelerle birlikte işletmelerdeki birçok süreç bilgisayar tabanlı hâle gelmiştir. Bu durum, cihazların uzaktan kontrolünü, veri alışverişini ve süreçlerin optimizasyonunu mümkün kılmıştır. MES sistemleri; üretimde verimliliği artırmak, hataları azaltmak ve kaynak kullanımını iyileştirmek açısından kritik bir rol oynamaktadır. Ancak buna rağmen Türkiye'deki MES kullanım oranı hâlen düşük seviyelerde olup küresel ortalamanın gerisindedir. Bu durum, yerli işletmelerin dijitalleşme sürecinde MES sistemlerine daha fazla ilgi göstermeleri ve yatırım yapmaları gerektiğini ortaya koymaktadır. Bu çalışmada, MES ile ilgili temel bilgiler, sistemlere ilişkin standartlar ve iletişim protokolleri ele alınmakta; ayrıca örnek bir firmada gerçekleştirilen Toplam Ekipman Etkinliği (OEE) analizi ile verimlilik artışına yönelik iyileştirme alanları, üretim kayıplarının nedenleri ve çözüm önerileri ortaya konulmaktadır. Elde edilen bulguların, gelecekteki akademik araştırmalara ve endüstriyel uygulamalara farkındalık sağlaması ve katkı sunması hedeflenmektedir
Numerical Investigation of the Behavior of Crusher Buildings Under Earthquake Effect
Get PDFÇelik yapılar özellikle endüstride ve bina inşaatlarında sıklıkla kullanılmaktadır. Yaygın kullanımından dolayı birçok araştırmacı çelik yapıların davranışını incelemek için çalışmalar yapmaktadır. Madencilik alanlarında kullanılan çelik yapılar genellikle iletim hatları ve kırıcıların güvenliğini sağlamak için kullanılır. Kırıcılar, madenlerin çalışmaya devam edebilmesi için hayati öneme sahip ekipmanlardır. Bu nedenle kırıcı binaları, kırıcıları korumak için çelik profiller kullanılarak inşa edilir. Bu çalışmanın amacı, kırıcıyı korumak için inşa edilen kırıcı binalarının deprem etkileri altındaki davranışını araştırmaktır. Bu amaçla örnek bir kırıcı binası tasarlanmış ve Türkiye'nin 4 farklı iline (Düzce, Ankara, Kahramanmaraş ve İzmir) göre yapısal analizi yapılmıştır. Analiz sonucunda yapıda oluşabilecek maksimum yer değiştirme, eşdeğer deprem yükü ve kolon kullanım kapasitesi kontrol edilerek karşılaştırılmıştır. Çalışma sonucunda deprem parametrelerindeki artışların yapıyı doğrudan etkilediği sonucuna varılmıştır. Maksimum yer değiştirme ve kullanım kapasitesi Düzce bölgesinden elde edilmiştir.Steel structures are frequently used especially in industry and construction of the buildings. Due to its widespread use, many researchers have been studying to investigate the behavior of steel structures. Steel structures used in mining areas are generally used to keep transmission lines and crushers safe. Crushers are vital equipment for mines to continue operating. For this reason, crusher buildings are constructed using steel profiles to protect the crushers. The aim of this study is to investigate the behavior of crusher buildings constructed to protect the crusher under earthquake effects. For this purpose, a sample crusher building was designed and its structural analysis was performed according to 4 different cities of Türkiye (Düzce, Ankara, Kahramanmaraş and İzmir). As a result of the analysis, the maximum displacement, equivalent earthquake load and column usage capacity that may occur in the structure were checked and compared. As a result of the study, it was concluded that increases in earthquake parameters directly affect the structure. The maximum displacements and usage capacity were obtained from the Düzce region
Error estimates for perturbed Milne-type inequalities by twice-differentiable functions using conformable fractional integrals
Get PDFMilne's inequality provides an upper bound for the error in definite integral approximations using Milne's rule, making it a useful tool for evaluating the rule's precision. For this reason, this inequality is widely applied in engineering, physics, and applied mathematics. Additionally, conformable fractional integral operators establish a stronger relationship between classical and fractional calculus, enhancing the modeling, analysis, and resolution of complex problems. Therefore, we focus on the study of conformable fractional integral operators and Milne-type inequalities, which have significant applications in various fields. In this study, we first obtain an integral identity involving conformable fractional integral operators and twice-differentiable functions. Building on this new identity, we develop various perturbed Milne-type integral inequalities for twice-differentiable convex functions. We also validate them numerically through examples, computational analysis, and visual representations. In conclusion, it is evident that our findings significantly enhance and expand upon prior findings regarding integral inequalities. In addition to improving the scope of previous discoveries, the obtained results offer meaningful approaches and methods for tackling mathematical and scientific issues
Investigation of wear and surface quality of raw AISI H13 hot work tool steel in electro-discharge machining machine
Get PDFElectrical discharge machining is a thermal erosion method that can be processed independently of the material's mechanical properties and the workpiece's geometry. Electrical discharge machining processing parameters directly affect the material's surface morphology and processing quality. This study investigated the effects of electrical discharge machining process parameters on the machining quality of AISI H13 hot work tool steel. Electrode material, pulse current and pulse on time were determined as factors for the experimental study. As a methodology, Taguchi L27 (3 x 3 x 3) full-factorial experimental design was used to optimise the effect of process parameters on surface roughness (Ra), processing time, crater diameter and material removal amount, which were identified as output parameters. The optimum factor levels were determined using Taguchi-based signal-to-noise ratio (S/N) criteria to optimise the output parameters. In addition, the analysis of variance results revealed that the pulse current was the most influential parameter for Ra, T and crater diameter. Conversely, the electrode material was the most noteworthy factor in material wear. The experimentation revealed that when the pulse current and pulse on time were increased, the processing time decreased, but the surface quality deteriorated. Moreover, linear and quadratic regression analyses were utilised to forecast the experiment's outcomes. The predicted and measured values exhibited excellent agreement.Duezce University Scientific Research Projects Coordinator [2018.22.02.814]This work was supported by the Duezce University Scientific Research Projects Coordinator [grant number: 2018.22.02.814]
Hermite-Hadamard-Type Inequalities Arising from Tempered Fractional Integrals Including Twice-Differentiable Functions
Get PDFWe propose a new method for the investigation of integral identities according to tempered fractional operators. In addition, we prove the midpoint-type and trapezoid-type inequalities by using twice-differentiable convex functions associated with tempered fractional integral operators. We use the well-known H & ouml;lder inequality and the power-mean inequality in order to obtain inequalities of these types. The resulting Hermite-Hadamard-type inequalities are generalizations of some investigations in this field, involving Riemann-Liouville fractional integrals
Teachers' perception of ecotourism: The case of Düzce
Get PDFDoğaya yönelik seyahatlerin ve çevresel koruma bilincinin artışıyla birlikte ekoturizm, 2000'li yıllardan itibaren dünya genelinde popüler hale gelmiş ve çevreye karşı sorumlu bir seyahat olarak turizm sektöründe önemli bir yer edinmiştir. Sahip olduğu doğal kaynakları ile ziyaretçilerine eşsiz deneyimler sunan Türkiye'nin ekoturizm potansiyeli oldukça yüksektir. Düzce ise dağları ve yaylaları, ulaşım ağlarına yakınlığı, doğal zenginlikleri, bitki örtüsü ile ekoturizm açısından önemli bir yerleşimdir. Turizmin sürdürülebilirliği için en önemli bileşenlerden biri eğitimdir. Eğitimin temel unsuru olan öğretmenler, öğrencilerin sürdürülebilirlik bilinci geliştirmelerine yardımcı olarak, çevreye duyarlılık ve toplumsal sorumluluk konularında farkındalık oluşturmaktadır. Bu çalışmada Düzce İl Milli Eğitim Müdürlüğü'ne bağlı okullarda görev yapan öğretmenlerin ekoturizm konusundaki algılarının belirlenmesi amaçlanmıştır. Öğretmenlere anket formu çevrimiçi olarak uygulanmıştır ve 320 katılımcıdan anket verileri elde edilmiştir. Elde edilen veriler tanımlayıcı istatistikler ve varyans analizi (ANOVA) testi ile değerlendirilmiştir. Bununla birlikte açıklayıcı faktör analizi (AFA) ile öğretmenlerin ekoturizm algısına yönelik temel bileşenler belirlenmiştir. Çalışma sonucunda Düzce'de görev yapan öğretmenlerin ekoturizme ilişkin algıları analiz edilmiş, elde edilen bulgular doğrultusunda çeşitli öneriler sunulmuştur. Düzce'deki öğretmenlerin çoğunlukla doğa yürüyüşü, yayla turizmi, mağara turizmi, kampçılık ve rafting gibi ekoturizm faaliyetlerine katılım sağladıkları; ancak kuş gözlemi, botanik turizmi, çiftlik turizmi ve orientring gibi ekoturizm faaliyetlerine katılımlarının düşük olduğu görülmüştür.With the increase in nature-based travel and awareness of environmental conservation, ecotourism has gained popularity globally since the 2000s, establishing itself as a significant sector of tourism characterized by environmentally responsible travel. Türkiye, with its abundant natural resources, offers unique experiences to visitors and possesses a high potential for ecotourism. Düzce, with its mountains, plateaus, proximity to transportation networks, natural richness, and vegetation, is a noteworthy destination for ecotourism. Education is one of the most critical components for the sustainability of tourism. As fundamental elements of education, teachers play a crucial role in fostering students' awareness of sustainability, environmental sensitivity, and social responsibility. This study aims to determine the perceptions of teachers working in schools affiliated with the Düzce Provincial Directorate of National Education regarding ecotourism. The questionnaire form was applied to the teachers online and data were collected from 320 participants. The obtained data were analyzed using descriptive statistics and variance analysis (ANOVA). Additionally, exploratory factor analysis (EFA) was conducted to identify the primary components of teachers' perceptions of ecotourism. As a result of the study, the perceptions of teachers in Düzce regarding ecotourism were analyzed, and various recommendations were proposed based on the findings. It has been observed that teachers in Düzce predominantly participate in ecotourism activities such as nature hiking, highland tourism, caving, camping and rafting; however, their participation in ecotourism activities such as birdwatching, botanical tourism, farm tourism and orienteering is relatively low
Lean Digital Transformation in Health Supply Chain: Identifying Barriers to Machine Learning and AI Applications and Strategies to Overcome
Get PDFOne of the important sectors that need to keep up with digital transformation quickly is healthcare. Given its direct impact on human lives, it is crucial to conduct studies to improve service quality in this sector. Considering the effects of the lean management approach in the healthcare sector on digital transformation in the supply chain is the first important research question for this study. Another research question is the contribution of artificial intelligence (AI) and machine learning (ML) approaches developed in recent years to digital transformation in the healthcare sector. The necessity of digital transformation tools, including artificial intelligence and machine learning, in healthcare services and the challenges faced during their implementation were identified as criteria and a weighting analysis was conducted with the help of multi-criteria decision-making (MCDM) analysis. Step-Wise Weight Assessment Ratio Analysis (SWARA) was used to determine the importance weights of the evaluation criteria. Strategies were defined with Enterprise Resource Planning (ERP) as a solution to the important weights of the challenges. The aim is to reduce costs while increasing supply chain efficiency and effectiveness by identifying practices and strategies that incorporate expert feedback from the industry. © 2025 Elsevier B.V., All rights reserved