3161 research outputs found
Sort by
Spatial assessment of ecosystem services provisioning changes in a forest-dominated protected area in NE Turkey
No full textForested landscapes offer high provisioning capacities for many ecosystem services (ES), yet their capabilities may change in time due to multifaceted ES drivers. Therefore, assessing the changes in individual ES is critical for ecosystem-based management. This study analyzes the spatio-temporal changes in ES provided by a forest-dominated protected area in NE, Turkey. To this end, 18 ES were quantified and mapped using the ES matrix approach for 1985 and 2021. Then, the status of the ES and potential drivers of landscape changes were revealed through the assessment of demographic and management structure changes. The results showed that the multiple ES provisioning capacity of the landscape increased by 7% over 35 years. The capacities for "crops" and "livestock" ES decreased for the same period. The most prominent ES were "wild foods," "erosion regulation," and "knowledge systems." Spatially, ES hotspots accumulated in the northern parts and the core zone of the protected area. The most significant changes occurred in the lowlands, mostly composed of degraded forests and coppices as of 1985 after their transformation into productive forests. The spatio-temporal changes in many ES can be attributed to the declaration of the landscape as a protected area in 1994. The removal of anthropogenic pressure and the impact of conservation management can be evaluated as the main drivers for the positive changes in the total ES capacity. Thus, sound policy structures and effective conservation strategies should be further encouraged for increasing protected areas' capacities to provide the large array of ES
A Neutrosophic Approach to Evaluate the Factors Affecting Performance and Theory of Sustainable Supply Chain Management: Application to Textile Industry
No full textPurpose – Sustainable supply chain management (SSCM) practices and policies are necessary for businesses
that seek to take part in international markets and ensure any form of competitiveness. Over time, and
especially in the recent past, researchers, governments, and other policymakers have made use of broad and
systematic approaches and come to appreciate the value-enhancing activities of sustainability.
Design/methodology/approach – Businesses have embraced the integration of sustainable policies and
practices within the supply chain as a critical step in ensuring the efficiency of their operations. It is clear in
previous studies and operational programs of enterprises that SSCM practices accord businesses certain
benefits including improving their environmental, social, and economic performance, and increasing their
ecological awareness by way of influencing performance elements within supply networks in enterprises. The
study examines the factors influencing performance and theories of SSCM using a neutrosophic method in the
textile industry.
Findings – SSCM performance is thus of great importance in ensuring business success and competitiveness,
realizing customer satisfaction, and leaving the environment in a desirable state for future generations.
Performance management, by assisting in the decision-making by managers and ensuring an adequate level of
internal interaction, is an integral part of assimilating sustainability management into businesses. SSCM theories
also have a strong impact on the determination of the sources of competitive advantage through effective utilization
of business capabilities to solve environmental and social challenges that may affect business performance.
Originality/value – In line with the benefits highlighted, this study seeks to evaluate and select the factors
affecting SSCM performance and theory in textile enterprises with corporate identity in Ordu and Giresun
provinces following a neutrosophic approach. To this end, the elements obtained from the literature review are
evaluated using the MULTIMOORA-mGqNN method
Pandemi sürecinde öğretmenlerin Web 2.0 öz-yeterlik inanışların bir yordayıcısı olarak BİT entegrasyonu yeterlikleri
Get PDFThis study was designed to examine the relationship between teachers' self-efficacy beliefs in using Web 2.0 technologies and their level of proficiency in using Information and Communication Technologies (ICT). The study group comprised of 336 teachers employed in different branches in state schools. Within this scope, "ICT Integration Proficiency for Teachers (TIPS)" and the "Web 2.0 Practical Content Development Self-Efficacy Belief (W2SEBS)" scales were used. The validity of the scales used in the research was tested with confirmatory factor analysis and the scales were seen to be valid. The multiple regression model created for the prediction of Web 2.0 self-efficacy beliefs by information and communication technology integration proficiency was found to be significant. Accordingly, ICT proficiency of teachers is thought to assist in the development of self-efficacy beliefs about the use of Web 2.0 tools.Bu araştırmada, öğretmenlerin Web 2.0 hızlı içerik geliştirme teknolojilerini
kullanabilme öz-yeterlik inanışları ile bilgi ve iletişim teknolojilerini (BİT) kullanma
yetkinlik düzeyleri arasındaki ilişkinin incelenmesi amaçlanmıştır. Çalışma grubu, devlet
okullarında farklı branşlarda görev yapmakta olan 336 öğretmenden oluşmaktadır. Bu
kapsamda katılımcılara “Öğretmenler için Bilgi ve İletişim Teknolojileri Entegrasyonu
Yeterlikleri Ölçeği” ile “Web 2.0 Hızlı İçerik Geliştirme Öz-Yeterlik İnancı Ölçeği”
uygulanmıştır. Bu çalışmada kullanılan ölçeklerin geçerlikleri doğrulayıcı faktör analizi
ile sınanmış ve ölçeklerin geçerli oldukları bulunmuştur. Web 2.0 öz-yeterliğinin bilgi ve
iletişim teknolojileri entegrasyonu yeterlikleri tarafından yordanmasına yönelik kurulan
çoklu regresyon modelinin anlamlı olduğu anlaşılmaktadır. Buna göre öğretmenlerin
BİT yeterlikleri, onları Web 2.0 araçlarını kullanmadaki öz-yeterlik inanışlarının
gelişmesine yardımcı olduğu düşünülmektedir
Forecasting future climate boundary maps (2021–2060) using exponential smoothing method and GIS
Get PDFFuture-oriented forecasts have an important place in making forward-looking decisions and planning. At the beginning of these studies is the monitoring and detection of climate change. The climate is very variable. Therefore, by
making predictions about the climate, preliminary information about how and to what extent the climate will change
can be obtained, and accordingly, necessary precautions can be taken quickly. This study aims to produce predictive
climate boundary maps using Geographic Information Systems (GIS), in which climate classification methods and
time series methods are evaluated to monitor and determine the changes caused by the climate in 13 selected provinces in Turkey. The triple exponential smoothing method and the Erinc climate classification method were discussed.
The data were obtained from the General Directorate of Meteorology (GDM) between 1930 and 2020, and each year's
precipitation efficiency index (Im) of the Erinc climate classification method was calculated. It is divided into two
classes for forecasting and testing current indices: test Im indices (1930–2014) and forecast test Im indices
(2015–2020). MAD, MSE, and MAPE criteria were calculated to determine whether the Im estimates were meaningful.
However, the accuracy of the estimates was ensured by considering the MAPE criteria for this study. After this stage,
the analyses were performed again with test Im indices (1930–2020) and forecast Im indices (2021–2060), and Im
indices predictions for the future were made. Finally, the obtained forecast indices were subjected to GIS interpolation
analyses (Kriging and IDW), and future climate boundary maps were produced. Thanks to the outputs obtained from
the study, how the climate classes of any region will be in the future and to what extent they will change will be
provided by evaluating the climate classification and time series methods together. It will contribute to different studies in this field with its innovative analysis approach
The measures to prevent cyber violence and the roles of nurses: traditional review
Get PDFİnsanlık tarihi kadar eski olan ve her gün artarak farklı şekillerde kendini gösteren şiddet, halk sağlığını tehdit eden önemli bir sorundur. Şiddet, kişinin kendine veya bir başka canlıya zarar verme
niyetiyle kasıtlı olarak güç kullanmayı içeren, biyolojik, sosyal, kültürel, ekonomik, politik ve psikolojik nedenleri olan, kişinin düşünce ve
davranışlarıyla ilişkili, çok boyutlu bir olgudur. Dünya Sağlık Örgütüne göre şiddet; kişinin kendine yönelik uyguladığı şiddet, kişiler arası
şiddet ve kolektif şiddet olarak 3’e ayrılmaktadır. Uygulama türüne
göre ise fiziksel, cinsel, duygusal, ekonomik ve siber şiddet olmak üzere
5’e ayrılmaktadır. Toplumun her kesiminde ve her yaş grubunda önemli
sağlık sorunlarına neden olan siber şiddet, küresel ve ciddi bir halk sağlığı problemidir. Siber şiddet, bilişim teknolojisi araçlarından birini
veya birkaçını kullanarak, karşıdaki kişinin kasıtlı olarak rahatsız edilmesi, tehdit edilmesi veya zarar verilmesi olarak tanımlanmaktadır.
Siber şiddet küresel olarak her yaş grubu ve her kesim birey tarafından
deneyimlenmesine rağmen geleneksel şiddet kadar dikkate alınmamakta ve rapor edilmemektedir. Siber şiddetin önlenmesi için güvenli
internet kullanımının bilinmesi, internetin yararlarının ve zararlarının
objektif şekilde değerlendirilmesi gerekir. Hemşireler, multidisipliner
yaklaşımla farklı gruplara yapacağı eğitimlerle siber şiddetin önlenmesine katkı sağlayabilir. Bu derlemede, siber şiddet kavramına ve
siber şiddetin önlenmesine yönelik hemşirelik uygulamalarına yer verilmiştir.Violence, which is as old as human history and increasingly manifests itself in various ways every day, is an important problem that threatens public health. Violence is a multidimensional
phenomenon associated with an individual’s thoughts and behaviors,
which involves intentionally using force with the intent to self-harm or
harm another living being, has biological, social, cultural, economic,
political and psychological reasons. According to the World Health Organization, violence is divided into three: self-inflicted, interpersonal or
collective violence. According to its type, it is divided into five: physical, sexual, emotional, economic and cyber violence. Cyber violence,
which causes significant health problems in every part of society and in
every age group, is a global and serious public health problem. Cyber
violence is defined as disturbing, threatening, or harming the others intentionally by using one or more of the information technology tools.
Although cyber violence is globally experienced by every age group
and every individual in every segment, it is not considered and reported
as much as the traditional violence. It is necessary to know the use of
secure Internet, and to evaluate its benefits and damages objectively
for the prevention of cyber violence. Nurses can contribute to the prevention of cyber violence by the training to be provided to different
groups with a multidisciplinary approach. In this regard, this review
addresses the concept of cyber violence and nursing practices in the
prevention of cyber violence
A study to examine the relationship between fear of COVID-19, psychological resilience, and life satisfaction
Get PDFThe main purpose of this study is to examine the effects of fear of COVID-19 and life satisfaction on the
psychological resilience of individuals. In this context, the relationship between the fears of COVID-19 and life
satisfaction of adults, which emerged during the pandemic period, with their psychological resilience has been
discussed. Personal Information Form, COVID-19 Fear Scale, Psychological Resilience Scale and Life
Satisfaction Scale were used as data collection tools for this study. The research sample consists of a total of 263
individuals, 206 women (78.3%) and 57 men (21.7%). Frequency, Correlation and Regression Tests were applied
by using SPSS 19 package program in the analysis of the data obtained after the application. According to the
results of the research, the fear of COVID-19 negatively affects the psychological resilience levels of individuals;
life satisfaction has a positive effect on psychological resilience levels. The results of the research were discussed
within the framework of the literature and suggestions were made in this directionBu çalışmanın temel amacı, COVİD-19 korkusunun ve yaşam doyumunun bireylerin psikolojik dayanıklılıklarına
etkisini incelemektir. Bu kapsamda yetişkin bireylerin pandemi döneminde ortaya çıkan COVİD-19 korkularının
ve yaşam doyumlarının psikolojik sağlamlıkları ile ilişkisi ele alınmıştır. Bu amaca yönelik çalışmanın veri
toplama araçları olarak Kişisel Bilgi Formu, COVİD-19 Korkusu Ölçeği, Psikolojik Sağlamlık Ölçeği ve Yaşam
Doyumu Ölçeği kullanılmıştır. Araştırma örneklemini 206 kadın (%78,3) ve 57 erkek (%21,7) olmak üzere toplam
263 birey oluşturmaktadır. Uygulama sonrasında elde edilen verilerin analizinde SPSS 19 paket programı
kullanılarak Frekans, Korelasyon ve Regresyon Testleri uygulanmıştır. Araştırmanın sonuçlarına göre bireylerin
COVİD-19 korkusu psikolojik sağlamlık düzeylerini negatif yönde; yaşam doyumları ise psikolojik sağlamlık
düzeylerini pozitif yönde etkilemektedir. Araştırmanın sonuçları, literatür çerçevesinde tartışılmış ve bu
doğrultuda öneriler getirilmiştir
Automated ground filtering of LiDAR and UAS point clouds with metaheuristics
No full textThe ground filtering is essential for the extraction of the topography of the bare Earth surface. Various ground filtering methods have been developed, especially in the last three decades. The main disadvantage of the ground filtering methods is that their performances are highly dependent on some user-defined parameter values. Hence, the analysts usually have to try a large number of parameter values until the optimum ground filtering result is achieved, which is neither practical nor time-efficient, especially for topographies with abrupt elevation changes. In addition, inappropriate parameter values may lead to the misclassification of the points that belong to the ground surface and to the above-ground objects. In cases where the analyst is not experienced in ground filtering, classification errors are expected to increase significantly. This reveals the necessity of an automated ground filtering strategy to avoid the user intervention for minimum classification errors. Hence, this study proposed to automate one of the most successful ground filtering methods, cloth simulation filtering (CSF), through algorithm-specific parameter-free metaheuristic optimization algorithms Grey Wolf Optimizer (GWO) and Jaya. The performances of the proposed GWO-based CSF (GWO-CSF) and Jaya-based CSF (Jaya-CSF) methods were tested on three LiDAR and two UAS point clouds. The results of the GWO-CSF and Jaya-CSF methods were qualitatively and quantitatively compared against those of the widely-used ground filtering methods progressive morphological 2D (PM2D), maximum local slope (MLS), elevation threshold with expand window (ETEW), multi-scale curvature classification (MCC), Boise Centre Aerospace Laboratory LiDAR (BCAL), gLiDAR, pro-gressive triangulated irregular network densification (PTD) and standard CSF in five test sites. The performance evaluations revealed that the proposed GWO-CSF and Jaya-CSF methods did not only outperform the standard CSF, but also the other filtering methods used. The GWO-CSF and Jaya-CSF methods were also found to achieve the best balance between the omission and commission errors. It was also concluded that the GWO-CSF and Jaya- CSF methods did not only perform well on gentle slopes, but also on sloping terrains with various large complex- shaped above ground objects. Another important conclusion is that the GWO-CSF and Jaya-CSF methods pre-sented a very high filtering performance on both LiDAR and UAS point clouds. The proposed methods managed to automate the filtering process, minimizing the filtering errors
Effects of cooling regimes on limestone rock and concrete with limestone aggregates at elevated temperatures
No full textIn this study, the changes in the structure of limestone rock at 700 °C and different cooling regimes were investigated and C30 class concrete was produced with the aggregates obtained from the limestone. Concrete specimens were exposed to temperatures of 20, 200, 400, 550 and 700 °C for 3 h; cooled with air and water. Mass loss, ultrasonic pulse velocity and compressive strength tests were carried out on limestone and concrete specimens. In addition, limestone and concrete specimens at 20 and 700 °C were determined by polarizing optical microscopy and X ray diffraction. As a result, it was determined that the mass loss of the limestone and concretes increased as the temperature increased, and the ultrasonic pulse velocity and compressive strength decreased. The compressive strength of the limestone decreased by 45% with air cooling and 47% with water cooling at 700 °C; compressive strength of concrete decreased by 71% in air cooling and 61% in cooling by water at 700 °C
Evaluation of textile wastewater treatment in sequential anaerobic moving bed bioreactor - aerobic membrane bioreactor
No full textIn this study, the treatability of real textile wastewater [dissolved organic carbon (DOC): 500 mg/L), color: 6383 Pt-Co, sulfate: 362 mg/L)] was investigated in sequential anaerobic moving bed bioreactor (AnMBBR) and aerobic membrane bioreactor (AeMBR). AnMBBR was filled with 40 % career material (Kaldnes K1). The effect of different hydraulic retention times (HRTs) (6−48 h) and powdered activated carbon (PAC) addition (1 g/L) was investigated for system optimization. Sequential AnMBBR- AeMBR was successfully operated for textile wastewater treatment corresponding to 92 %, and 90 % dissolved organic carbon (DOC) and color removals, respectively. The effluent quality, dropped under 45 Pt-Co and 18 mg/L effluent values, was relatively high and complianted with discharge standards. The Fourier transform infrared spectroscopy (FT-IR) analysis showed that primary amines are successfully removed in AeMBR effluent. Fouling in AeMBR was increased when HRT was reduced, however, improved by 90 % at PAC addition conditions. Except for soluble microbial products (SMP) and soluble extracellular polymeric substances (EPS), it was observed that silicon (Si) (13.16 %) has an important role in fouling which was confirmed by scanning electron microscopy (SEM) and Energy-Dispersive X-ray (EDX) analysis. Additionally, microbial community structures indicated that the membrane fouling can be caused by Alphaproteobacteria (80 %) which was the dominant culture in the biofilm layer at a maximum fouling rate.This work was funded by the Scientific Research Project Coordination Unit of Kahramanmaras Sutcu Imam University (Project No: 2016/6-41 YLS)
Assessing the laboratory mass rearing of Predator Beetle Rhizophagus grandis Gyll. (Coleoptera: Monotomidae)
Get PDFThis study was supported by a research grant from the Karadeniz Technical University (Project No. 2004.113.001.6).The aim of this study was to determine the progeny production of predator beetle Rhizophagus grandis (Gyllenhal) (Coleoptera: Monotomidae) under laboratory conditions. Different numbers of male and female predators introduced into breeding logs and the numbers of new progenies and their sex ratios were determined in the early and late spring periods. A total of 8776, 13,402, 5742 and 7864 R. grandis individuals were reared in 60, 109, 128 and 56 breeding logs in four consecutive years, respectively. Of the prepupae that have dropped from breeding logs to enter the sand in experimental basins, 81.4 % of them have emerged as adults at the end of the experimental periods. The average number of R. grandis per log was 146.2, 123, 44.9 and 140.4 according to experimental years, and 181.7 and 93.2, 123, 62.4 and 32.9, 163.8 and 101.5 according to the early and late spring periods in the experimental years, respectively. In the second year of the experiments, only early spring rearings have been performed that have yielded 123 R. grandis per log on average. Progeny production of a female R. grandis was 18.3, 18.7, 5.8 and 17.6 on average, 2004, 2005, 2006 and 2007 respectively. Different numbers of predator females and males were used in early and late spring experiments in the study. Progeny production was higher in early spring when the experiments were performed with 6 females and 2 males. Of the 35,784 R. grandis individuals that were obtained from the experiment, 16.4 %, 28.3 % and 55.3 % were collected from the first, second and third part of the sand environment where the breeding logs kept during experiment