230 research outputs found
Estimation of Aboveground Carbon Using Active and Passive Satellite Image in Pure Crimean Pine Stands
No full textBu çalışma, Sinop Orman Bölge Müdürlüğü, Boyabat Orman İşletme Müdürlüğü, Elekçamı Orman İşletme Şefliği sınırları içerisinde yayılış gösteren saf karaçam meşcerelerinde gerçekleştirilmiştir. Çalışma kapsamında toplam 247 adet örnek alan verisi kullanılmıştır. Envanter verilerinden yararlanılarak her bir örnek alan için topraküstü karbon (TÜK) değerleri hesaplanmıştır. Her bir örnek alan için Landsat 5 TM bant yansıma ve vejetasyon indis, ALOS-PALSAR uydu görüntüsüne ait HH ve HV polarizasyonlarından parlaklık ve geri yansıtım ile örnek alanlara ilişkin eğim, bakı ve yükselti değerleri hesaplanmıştır. TÜK değerleri ile yukarıda açıklanan değişkenler arasındaki ilişkiler çoğul regresyon analizi ile modellenmiştir. Toplam 14 adet model geliştirilmiştir. Geliştirilen model başarıları incelendiğinde, Landsat 5 TM vejetasyon indis, ALOS-PALSAR parlaklık ve geri yansıtım değişkenleri ile eğim, bakı ve yükselti değerlerinin bağımsız değişkenler olarak yer aldığı modelde belirtme katsayısı (R_düz^2=0.655; Sy.x=0.18147) elde edilmiştir.This study was conducted in pure Crimean stands located within the boundaries of Sinop Regional Directorate of Forestry, Boyabat Forest Enterprise, Elekçamı Forest Planning Unit. A total of 247 sample plot inventory data were utilized. Using inventory data, aboveground carbon values were calculated for each sample plot. Then, for each sample plot, band brightness and vegetation indice obtained from the Landsat 5 TM satellite image, polarization (HH and HV) brightness and backscattering obtained from the ALOS-PALSAR satellite image, as well as slope, aspect, and elevation values, were calculated. The relationships between aboveground carbon values and the variables mentioned above were modeled using multiple regression analysis. A total of 14 models were developed. When examining the success of the developed models, the highest model accuracy (R_adj^2=0.655;Sy.x=0.18147) was achieved in the model that included vegetation indices from the Landsat 5 TM satellite image, brightness and backscattering values from the ALOS-PALSAR satellite image, along with slope, aspect, and elevation as independent variables
Designing preservation. Integrating the architectural project to UNESCO tools to tackle territorial fragility: the Tivoli case as a pilot experience
No full textThe research investigates the potential contribution of a design-based approach to the current institutional UNESCO safeguard tools concerning the relation core/territory, challenging the conservative role of buffer zones that lead to stalemate situations in terms of territorial development, especially in the Italian context. Through the analysis of case studies, a methodological approach is developed that focuses on the one hand on the use of design tools for the assessment of heritage-related territories (cognitive framework), and on the other hand on the use of design actions in the management strategies for valorisation (interpretation framework). These tools are tested on the relevant experimental case of Tivoli, seat of two major World Heritage sites, as a pilot experience of integration of design tools in safeguard and management strategies for the solution of territorial fragility in complex heritage-related contexts
Mixed effect models for predicting breast height diameter from stump diameter of Oriental beech in Göldağ
No full textDiameter at breast height (DBH) is the simplest, most common and most important tree dimension in forest inventory and is closely correlated with wood volume, height and biomass. In this study, a number of linear and nonlinear models predicting diameter at breast height from stump diameter were developed and evaluated for Oriental beech (Fagus orientalisLipsky) stands located in the forest region of Ayancık, in the northeast of Turkey. A set of 1,501 pairs of diameter at breast height-stump measurements, originating from 70 sample plots of even-aged Oriental beech stands, were used in this study. About 80 % of the otal data (1,160 trees in 55 sample plots) was used to fit a number of linear and nonlinear model parameters; the remaining 341 trees in 15 sample plots were randomly reserved for model validation and calibration response. The power model data set was found to produce the most satisfactory fits with the Adjusted Coefficient of Determination, R2adj (0.990), Root Mean Square Error, RMSE (1.25), Akaike’s Information Criterion, AIC (3820.5), Schwarz’s Bayesian Information Criterion, BIC (3837.2), and Absolute Bias (1.25). The nonlinear mixed-effect modeling approach for power model with R2adj(0.993), AIC (3598), BIC (3610.1), Absolute Bias (0.73) and RMSE (1.04) provided much better fitting and precise predictions for DBH from stump diameter than the conventional nonlinear fixed effect model structures for this model. The calibration response including tree DBH and stump diameter measurements of the four largest trees in a calibrated sample plot in calibration produced the highest Bias, -5.31 %, and RMSE, -6.30 %, the greatest reduction percentage
On the relations between subgroups of a group and submodules of modules over group rings
No full textLet R be a commutative ring and G a finite group. In [1], using a structure on an R module M to make it an RG module, we find some relations between RG submodules and a subgroups. We also prove that for each normal subgroup H of G with an invertible IHI in R, there is a direct summand RG submodule of M
Modelling some stand parameters using Landsat 8 OLI and Sentinel-2 satellite images by machine learning techniques: a case study in Turkiye
No full textRemote sensing technologies have been extensively used in forest management in predicting stand parameters. The goal of this study is to use Landsat 8 and Sentinel-2 satellite images to estimate stand volume, basal area, number of trees, mean diameter, and top height. 180 temporary sample plots were taken in pure Crimean pine stands with varied structure. Reflectance, vegetation indices, and eight texture values were generated from Landsat 8 and Sentinel-2 satellite images. The stand parameters were modelled with the remotely sensed data using multiple linear regression, support vector machine, and deep learning techniques. The results showed that the support vector machine technique provided the highest level of model performance with 45 degrees orientation for number of trees (R-2 = 0.98, RMSE%=5.97) and 90 degrees orientation for basal area (R-2=0.91, RMSE%=15.22). The results indicated that the texture values presented better results than the reflectance and the vegetation indices in estimating the stand parameters
Modeling of plastic deformation due to slip-its implications in characterizing fatigue crack growth thresholds and non-Schmid behavior in transforming alloys
No full textThis study will be divided into two main pillars in interrogating the microstructural barriers prevalent at the nanoscale: (i) the effect of twin and grain boundaries along with their contribution on the irreversibility of the crack-tip emitted slip under cyclic fatigue loading, (ii) the atomistic scale lattice resistance against glide motion of dislocations in a perspective of laying out the dislocation core-crystal structure and applied loading interplay in particular embracing the plastic behavior in ordered shape memory alloys. The primary goal of the current work is to provide physical insight for the implications of the slip-mediated plasticity in fatigue crack growth and non-Schmid behavior on both experimental and theoretical grounds.
In first part of the current study, the near threshold fatigue crack growth behavior of nanocrystalline Ni-2.89% wt. Co (Ni-Co) alloy with nanotwinned microstructure will be characterized in particular based on the contribution of microstructural variables such as the on-going crack-tip emitted dislocation and twin/grain boundary (i.e. of , and types) interactions, the pre-existing dislocation density and the characteristic dimensions of grain size, twin thickness and spacing. In order to accomplish this task, we architectured the microstructure of nanocrystalline Ni-Co alloy by conducting annealing treatments at various temperatures and promoted grain-twin coarsening as well as varying the pre-existing slip density. Furthermore, we conducted experiments on these engineered microstructures under uniaxial tension and cyclic fatigue loading employing Digital Image Correlation technique at different length scales. The monotonic tension experiments enables to characterize the contribution of microstructural variables on the mechanical response of Ni-Co alloy, such as ductility and strength. On the other hand, the cyclic fatigue crack growth experiments help identify the variation of crack growth behavior and threshold levels of Ni-Co alloy along with the architectured microstructures. The experimental measurements show that nanotwins hierarchically embedded in the microstructure of Ni-Co alloy promotes ductility and fatigue threshold in a profound fashion with decreasing characteristic dimensions.
Meanwhile, the primary focus is on nanocrystalline Ni-Co alloy, the current work has been put forward to establish a physical model informed by the multi-scale microstructural parameters which is capable of predicting the fatigue threshold levels of metallic materials devoid of empiricism. To that end, we simulated the interaction of crack-tip emitted slip and the grain/twin boundaries within the framework of Molecular Dynamics and characterized the on-going dislocation reactions as well as the crystalline resistance at the boundary against the glide of dislocations participating in these reactions. Subsequently, the effective threshold stress intensity factor range metric is predicted on theoretical grounds by incorporating physical parameters such as the friction stresses both inside the pristine crystal and at the grain/twin boundaries along with the glide geometry associated with the prevailing dislocation reactions into the continuum scale dislocation motion equations. The modelling efforts for cyclic glide motion of crack-tip emitted dislocations as a function of applied stress factor range , , provided a quantitative basis to determine the microstructure-sensitive crack threshold levels on theoretical grounds. The results indicate that coherent twin boundaries ( type ) impart superior fatigue properties to Ni-Co alloy compared to the less-coincident grain boundaries of and types. As a distinguishing finding of the present study, the increasing frequency of the grain and twin boundaries-linked with the grain size and twin spacing & thickness- are determined to promote the fatigue threshold levels in Ni-Co alloy.
In the second part of the study, the mechanisms governing the slip-mediated plasticity of the ordered shape memory alloys, particularly Fe3Al and NiTi, are focused on both experimental grounds (via Digital Image Correlation technique) and employing theoretical atomistic scale dislocation core simulations. The non-Schmid character of the plastic response profoundly governs on the functional performance of this class of alloys imparting tension-compression asymmetries and anisotropic glide resistance as a function of crystal orientation. To accomplish this task, the dislocation core structures are calculated employing Molecular Statics-Dynamics simulations and subsequently the interaction mechanisms of the non-planar dislocation core structure with applied stress tensor components are identified considering the corresponding crystal symmetries involved. The dislocation core shape that is governed by the atomistic scale disregistry distributions under applied loading is demonstrated to play a decisive role on the anisotropic glide resistance which results in deviations from the Schmid law. The theoretical predictions for the anisotropic glide resistance are demonstrated to be in well agreement with the high magnification experiments conducted on single crystals of these alloys. The current methodology followed enables us to build a comprehensive understanding for the non-Schmid glide behavior of dislocations in austenitic phase of Fe3Al and NiTi shape memory alloys considering the effects of both glide and non-glide stress components. Furthermore, generalized yield criteria for these materials are established extending atomistic scale core mechanics to the macro-scale crystal plasticity.Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2019-12-01The student, Sertan Alkan, accepted the attached license on 2017-12-05 at 13:43.The student, Sertan Alkan, submitted this Dissertation for approval on 2017-12-05 at 14:02.This Dissertation was approved for publication on 2017-12-06 at 10:46.DSpace SAF Submission Ingestion Package generated from Vireo submission #11864 on 2018-03-13 at 09:56:57Made available in DSpace on 2018-03-13T15:25:27Z (GMT). No. of bitstreams: 3
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COVİD-19 PANDEMİSİ DÖNEMİNDE DIŞA DÖNÜK VE İÇE DÖNÜK KİŞİLİK ÖZELLİKLERİNİN KARANTİNA DENEYİMİ ÜZERİNDEKİ ETKİSİ
No full textThe purpose of this research is to understand more closely the effect of an individual's extroversion and introversion personality traits on their experiences during the quarantine and social isolation period experienced during the Covid-19 period. The study, which plans to measure the experience of the individual in this process through factors such as difficulty in adapting to the quarantine period and compliance with the rules during the quarantine period, was developed by Benet-Martinez and John (1998) and adapted in Turkish by Sümer and Sümer (2005), in order to determine the personality traits of the individual. Inventory (BFI)” was used. A single-item scale was developed to measure adaptation difficulty, and for compliance with the rules, Van Rooij, B., de Bruijn, A. L., Reinders Folmer, C., Kooistra, E., Kuiper, M. E., Brownlee, M., & Fine, A. ( 2020) and the reliability and validity study of which was conducted by Oral, T. & Gunlu, A. (2021), the Social
Distance Scale (Compliance with Covid-19 mitigation measures in the United States) scale was used. coefficient was found as α = 0.70 (Age range is 18-70 years; mean age is 31.95). In addition, confirmatory factor analysis results for validity studies showed that the single-factor structure fit well (X2/sd=0.65, p>.001, RMSEA=0.00, SRMR=0.00, GFI=0.99, AGFI=0.99, CFI=1.00). No significant relationship was found between adaptation difficulty and compliance factors and personality traits of the individual, but these results are potentially of great significance for future research.Bu araştırmanın amacı, Covid-19 dönemi süresince yaşanan karantina ve sosyal izolasyon döneminde bireyin dışadönüklük ve içedönüklük kişilik özelliklerine sahip olmasının deneyimleri üzerindeki etkisini daha yakından anlamaktır. Karantina dönemine adapte olmada zorluk ve karantina döneminde kurallara uyum gibi faktörler üzerinden bireyin bu süreçteki deneyimini ölçmeyi planlayan çalışma, bireyin kişilik özelliklerini belirlemek amacıyla Benet-Martinez ve John (1998) tarafından geliştirilen ve Türkçe uyarlaması Sümer ve Sümer (2005) tarafından yapılan “Beş
Faktör Envanteri (BFI)” kullanılmıştır. Adaptasyon zorluğu ölçümü için tek maddeli ölçek geliştirilmiş, kurallara uyum için ise Van Rooij, B., de Bruijn, A.L., Reinders Folmer, C., Kooistra, E., Kuiper, M. E., Brownlee, M., & Fine, A. (2020) tarafından geliştirilen ve güvenilirlik ve geçerlilik çalışması Oral, T. & Gunlu, A. (2021) tarafından yapılan Covid-19 Döneminde Sosyal Mesafe Ölçeği ( Compliance with Covid-19 mitigation measures in the United States) ölçeği kullanılmıştır.Ölçeğin Cronbach Alfa güvenirlik katsayısı α = 0.70 olarak bulunmuştur (Yaş aralığı 18-70 yaş; yaş ortalaması ise 31.95). Ayrıca geçerlik çalışmaları için yapılan doğrulayıcı faktör analizi sonuçları tek faktörlü yapının iyi uyum verdiğini göstermiştir (X2/sd=0.65, p>.001, RMSEA=0.00, SRMR=0.00, GFI=0.99, AGFI=0.99, CFI=1.00) Araştırmanın sonucunda adaptasyon zorluğu ve kurallara uyum faktörleri ile bireyin kişilik özellikleri arasında anlamlı bir ilişki bulunamamıştır, fakat bu sonuçlar gelecek araştırmalar için potansiyel olarak büyük anlam taşımaktadır.M.S. - Master of Scienc
Prospective teachers' views and experiences with e-portfolios
No full textThe use of electronic portfolios (e-portfolios) is a burgeoning area ofresearch, with many teacher education programs utilising as botha product of and a process of reflective practice. This case studyaimed to explore prospective primary teachers’ (students) percep-tions, perspectives and experiences of the use of e-portfolios, focus-ing on the affordances and limitations of using e-portfolios in InitialTeacher Education (ITE). Eleven second-year undergraduate stu-dents from secondary and primary ITE programs were interviewed.A reflexive thematic analysis was conducted on the transcripts, inwhich the module tutors’ experiences were also incorporated.Findings suggest that e-portfolios can be valuable agentic andreflective pedagogical tools that can scaffold learning, althoughwith a number of important caveats for future implementations.This paper speaks to the paucity of research that extends the viewof e-portfolios as simply repositories for content.ARTICLE HISTORYReceived 11 December 2023Accepted 27 August 2024KEYWORDSE-portfolio; reflection; initialteacher education; ScotlandIntroductionThe definition and application of reflection, especially in initial teacher education, is bothcontested and complex. Typically, Dewey’s (1933) book called How We Think and Schön’s(1983) work on becoming a reflective practitioner are regarded as the foundational textsin this area. Dewey defined reflection as ‘an operation in which facts on one side andmeaning on the other are elicited through constant interaction with each other’ (1933,p. 165). Schön (1983) further developed this idea, emphasising the importance of thedevelopment of ‘feeling for practice’ within specific contexts. He highlighted the signifi-cance of uncertainties in his discussion on reflection, noting that ‘it is our capacity to see-as and do-as that allows us to have a feel for problems that do not fit existing rules’ (1983,p.140). Similarly, LaBoskey (1993), who argued that reflection should clearly be an objec-tive for all teachers, stated that ‘reflection begins when an individual is perplexed oruncertain about an idea or situation and ends with a judgement’ (p.10). The process bywhich these judgements are formed and can be documented was further examined byCONTACT Sinem Hizli Alkan [email protected] School of Education, Faculty of Arts, Humanities,Education and Social Sciences, Anglia Ruskin University, Bishop Hall Lane, Chelmsford CM1 1SQ, UKREFLECTIVE PRACTICEhttps://doi.org/10.1080/14623943.2024.2398800© 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properlycited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) orwith their consent.</p
Late Pleistocene changes in terrestrial biomarkers in sediments from the central Arctic Ocean
No full textBiomarkers in Late Pleistocene sediments collected from the Integrated Ocean Drilling Program (IODP)-Arctic Coring Expedition (ACEX) Hole M0004C (central Arctic Ocean) were investigated. The major biomarkers are long-chain n-alkanes, n-fatty acids and n-alkan-1-ols, indicating fresh organic matter (OM) derived predominantly from higher plants. The dominance of terrestrial biomarkers is attributed to severe OM degradation caused by slow sedimentation in oxygen-rich benthic water and/or low primary production due to permanent sea-ice coverage. Hopanes, representing thermally altered OM, tend to be abundant in samples with abundant ice rafted debris (IRD). An OM-rich dark grey layer deposited during marine isotope stage (MIS) 6 contains a significant amount of branched glycerol dialkyl glycerol tetraethers (branched GDGTs), suggesting ice erosion of organic-rich continental soil followed by transportation to the central Arctic by drifting ice. The labile–refractory index (i.e., the abundance ratio of long-chain n-alkan-1-ols to the sum of long-chain n-alkanes and long-chain n-alkan-1-ols) decreases above the dark grey layer, indicating that the OM became more refractory. This change suggests that coverage of the source region by OM-rich soil decreased because of extensive glacial erosion during MIS-6
Erratum: Using the Mixed-Meta Method to Assess Portfolios in Science Teaching
No full textThe corrections should be made as below,
The (Alkan et al., 2019) used in the Methods section needs to be deleted. The Alkan et al. study is a mixed method [(Mixed methods design: a narrative literature review. Journal of Qualitative Research in Education, 7(2):559-582)]. However, the term used in our study is mixed-meta method. In addition, the term belongs to a different author and it has a completely different definition. (On the pages 3900 and 3914).
Instead of “(Büyüköztürk et al., 2018 p.259-260)” (Batdı, 2020, p.3) should be added under the title “Meta-analysis procedure”. (On the page 3903)
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