Urban growth simulation using SLEUTH in Afyonkarahisar (Turkey)

U ovoj se analizi procjenjuje promjena u razvoju područja oko grada Afyonkarahisar u budućnosti, primjenom SLEUTH modela. Osnovni je cilj prikazati simulaciju promjene razvoja grada do 2030 pomoću SLEUTH modela. U tu su svrhu razvijena dva različita modela razvoja. Kao rezultat analize ustanovljeno je da će uz postojeći scenarij razvoja, od 2011 do 2030 grad porasti za 3115 hektara, a to će rezultirati uništenjem 2300 hektara pašnjaka. Ustanovljeno je da se 2000 ha prirodnih bogatstava može zaštiti od urbanizacije i izbjeći kriva uporaba tog područja od ekonomske i društvene važnosti uz scenarij kontroliranog rasta.In this study, the change in city growth of Afyonkarahisar in the adjacent area in the future was estimated using the SLEUTH model. The main objective of this study is to show the simulation of the change in the urban growth of Afyonkarahisar until 2030 with the SLEUTH model, a cellular automata model. For this purpose, two different growth scenarios have been developed. As a result of the study, with the current growth scenario, urban development from 2011 to 2030 will increase by 3115 hectares, and it is seen that 2300 hectares of pasture areas will be destroyed with this increase. It is found that 2000 ha of natural areas can be protected from urbanization and the wrong land use of the city\u27s natural resources having social and economic importance can be avoided with the controlled growth scenario

Araç Cüzdanı: Motorlu Araçların Teknik Servis ve Bakım Kayıtlarının Blokzinciri Üzerinde Yönetilmesi

Günlük hayatta edindiğimiz tecrübeler bize özellikle ikinci el motorlu araç satışlarında, araçların geçmişteki teknik servis ve bakım kayıtları gibi bilgilere erişim noktasında sorun yaşandığını göstermiştir. Yaşanan bu zorluk çeşitli mağduriyetlere neden olmaktadır. Blokzinciri, özellikleri ve sunduğu fırsatlar sayesinde karşılaşılan bu sorunun üstesinden gelmek için uygun bir teknoloji olarak değerlendirilebilir. Bu çalışmada her bir araç için özel blokzinciri ağı içerisinde bir hesap tanımlanması ve araç bakım servislerinin, parça sağlayıcıların ve sigorta şirketlerinin de katılımcı olarak bu ağa eklenmesi yöntemine dayanan bir çözüm önerilmektedir. Sunulan çözümde servis noktalarındaki uygulamalar sayesinde araçlara ait bakım, parça değişimi, tamirat gibi işlemlere ilişkin kayıtların blokzinciri hesabına kaydedilmesi ve bu bilgilerin blokzinciri ağında dağıtık, şeffaf ve değiştirilemez olarak saklanması planlanmıştır. Sunulan çözüm sayesinde servis noktalarının ve müşterilerin araçların geçmiş dönemlerdeki servis kayıtlarına şeffaf ve güvenli bir şekilde erişimi sağlanabilecektir

Urban Growth Sımulatıon of Afyonkarahısar

Rapid growth in world population and incorrect land-use practices on natural resources has become a global problem. The basis of countries' economic development is directly related to the use of natural resources. In addition, natural resources have dynamic (variable) properties; therefore, they should constantly be monitored. Remote sensing has been an essential tool for the analysis of land management, environmental modeling, variable analysis, etc. In addition to retrospective data analysis of cities, to be able to direct future growth based on environmental conditions and to bring under control will be useful without a doubt. Therefore, a pixel-based urban growth model, SLEUTH, has been used in this study. The main objective of this study shows the simulation of the change in urban growth of Afyonkarahisar until 2030 with SLEUTH model, a cellular automation model. For this purpose, two different growth scenarios have been developed: (1) The current growth does not provide for high conservation in areas which are environmentally significant, (2) whereas areas like Agriculture, Forestry, Rangeland are put under protection with controlled growth. As a result of the study, with the current growth scenario, urban development from 2011 to 2030 will increase by 3115 hectares, and it is seen that 2300 hectares of pasture areas will be destroyed with this increase. It is found that 2000 ha of natural areas can be protected from urbanization and the wrong land use of the city's natural resources having social and economic importance can be avoided with the controlled growth scenario.Dünya nüfusunun hızla artması ve doğal kaynaklar üzerinde yanlış arazi kullanım uygulamaları küresel bir sorun haline gelmiştir. Ülkelerin ekonomik gelişmelerinin temeli doğal kaynaklarının kullanımı ile doğrudan ilgilidir. Ayrıca doğal kaynaklar dinamik (değişken) özelliktedirler ve bu yüzden sürekli izlenilmeleri gerekmektedir. Geçmişe dönük verilerle yapılan analizlerin yanı sıra kentlerin gelecekteki büyümelerini çevresel şartlara göre yönlendirebilmek ve kontrol altına alabilmek yararlı olacaktır. Bu çalışmada piksel tabanlı bir kent büyüme modeli olan SLEUTH kullanılmıştır. Bu çalışmanın ana amacı; hücresel bir otomasyon modeli olan SLEUTH modeli ile Afyonkarahisar kent büyümesi değişiminin 2030 yılına kadarki simülasyonunun gerçekleştirilmesidir. Bu amaçla iki farklı büyüme senaryosu geliştirilmiştir: (1) Mevcut büyüme senaryosu, çevresel öneme sahip alanlarda yüksek koruma öngörmezken; (2) kontrollü büyüme senaryosu ile tarım, orman, mera vb. alanlar yüksek koruma altına alınmaktadır. Çalışmanın sonucu olarak, mevcut büyüme senaryosu ile kent gelişimi 2011’den 2030’a kadar 3115 hektar artacağı, bu artış ile Mera alanlarının 2300 ha’nın yok olacağı görülmektedir. Kontrollü büyüme senaryosu ile 2000 ha doğal alanın kentleşmeden korunabileceği, şehrin sosyal ve ekonomik olarak öneme sahip doğal kaynaklar üzerinde yanlış arazi kullanımlarının önüne geçilebileceği sonucuna varılmıştır

Urban Growth Sımulatıon of Afyonkarahısar

Rapid growth in world population and incorrect land-use practices on natural resources has become a global problem. The basis of countries' economic development is directly related to the use of natural resources. In addition, natural resources have dynamic (variable) properties; therefore, they should constantly be monitored. Remote sensing has been an essential tool for the analysis of land management, environmental modeling, variable analysis, etc. In addition to retrospective data analysis of cities, to be able to direct future growth based on environmental conditions and to bring under control will be useful without a doubt. Therefore, a pixel-based urban growth model, SLEUTH, has been used in this study. The main objective of this study shows the simulation of the change in urban growth of Afyonkarahisar until 2030 with SLEUTH model, a cellular automation model. For this purpose, two different growth scenarios have been developed: (1) The current growth does not provide for high conservation in areas which are environmentally significant, (2) whereas areas like Agriculture, Forestry, Rangeland are put under protection with controlled growth. As a result of the study, with the current growth scenario, urban development from 2011 to 2030 will increase by 3115 hectares, and it is seen that 2300 hectares of pasture areas will be destroyed with this increase. It is found that 2000 ha of natural areas can be protected from urbanization and the wrong land use of the city's natural resources having social and economic importance can be avoided with the controlled growth scenario.Dünya nüfusunun hızla artması ve doğal kaynaklar üzerinde yanlış arazi kullanım uygulamaları küresel bir sorun haline gelmiştir. Ülkelerin ekonomik gelişmelerinin temeli doğal kaynaklarının kullanımı ile doğrudan ilgilidir. Ayrıca doğal kaynaklar dinamik (değişken) özelliktedirler ve bu yüzden sürekli izlenilmeleri gerekmektedir. Geçmişe dönük verilerle yapılan analizlerin yanı sıra kentlerin gelecekteki büyümelerini çevresel şartlara göre yönlendirebilmek ve kontrol altına alabilmek yararlı olacaktır. Bu çalışmada piksel tabanlı bir kent büyüme modeli olan SLEUTH kullanılmıştır. Bu çalışmanın ana amacı; hücresel bir otomasyon modeli olan SLEUTH modeli ile Afyonkarahisar kent büyümesi değişiminin 2030 yılına kadarki simülasyonunun gerçekleştirilmesidir. Bu amaçla iki farklı büyüme senaryosu geliştirilmiştir: (1) Mevcut büyüme senaryosu, çevresel öneme sahip alanlarda yüksek koruma öngörmezken; (2) kontrollü büyüme senaryosu ile tarım, orman, mera vb. alanlar yüksek koruma altına alınmaktadır. Çalışmanın sonucu olarak, mevcut büyüme senaryosu ile kent gelişimi 2011’den 2030’a kadar 3115 hektar artacağı, bu artış ile Mera alanlarının 2300 ha’nın yok olacağı görülmektedir. Kontrollü büyüme senaryosu ile 2000 ha doğal alanın kentleşmeden korunabileceği, şehrin sosyal ve ekonomik olarak öneme sahip doğal kaynaklar üzerinde yanlış arazi kullanımlarının önüne geçilebileceği sonucuna varılmıştır

Prognostic factors in clinical stage T4N2 locally advanced non-small cell lung cancer

Purpose: Relatively few studies have focused on T4N2 (stage IIIB) locally advanced non-small cell lung cancer (NSCLC). In this study, we tried to identify prognostic factors for patients with clinical stage T4N2 NSCLC

Real-Life Analysis of Efficacy and Safety of Everolimus Plus Exemestane in Hormone Receptor-Positive, Human Epidermal Growth Factor Receptor-2-Negative Metastatic Breast Cancer Patients: A Turkish Oncology Group (TOG) Study

© 2021 Taylor & Francis Group, LLC.Purpose: This study evaluated the efficacy and safety of everolimus (EVE) plus exemestane (EXE) in hormone-receptor positive (HR+), human epidermal growth factor receptor-2-negative (HER2−) metastatic breast cancer (MBC) patients in real-life settings. Methods: Overall, 204 HR+, HER2− MBC patients treated with EVE + EXE after progressing following prior endocrine treatment were included. Overall survival (OS) and progression-free survival (PFS) and safety data were analyzed. Results: The objective response rate, median PFS, and median OS were 33.4%, 8.9 months, and 23.4 months, respectively. Multivariate analysis revealed that negative progesterone receptor status was a significant determinant of poor treatment response (p = 0.035) and PFS (p = 0.024). The presence of bone-only metastasis was associated with better treatment response (p = 0.002), PFS (p < 0.001), and OS (p = 0.001). Conclusion: We confirmed the favorable efficacy and safety profile of EVE + EXE for HR+, HER − MBC patients

Treatment of ventilator-associated pneumonia (VAP) caused by Acinetobacter: results of prospective and multicenter ID-IRI study

Ventilator-associated pneumonia (VAP) due to Acinetobacter spp. is one of the most common infections in the intensive care unit. Hence, we performed this prospective-observational multicenter study, and described the course and outcome of the disease. This study was performed in 24 centers between January 06, 2014, and December 02, 2016. The patients were evaluated at time of pneumonia diagnosis, when culture results were available, and at 72 h, at the 7th day, and finally at the 28th day of follow-up. Patients with coexistent infections were excluded and only those with a first VAP episode were enrolled. Logistic regression analysis was performed. A total of 177 patients were included; empiric antimicrobial therapy was appropriate (when the patient received at least one antibiotic that the infecting strain was ultimately shown to be susceptible) in only 69 (39%) patients. During the 28-day period, antibiotics were modified for side effects in 27 (15.2%) patients and renal dose adjustment was made in 38 (21.5%). Ultimately, 89 (50.3%) patients died. Predictors of mortality were creatinine level (OR, 1.84 (95% CI 1.279-2.657); p = 0.001), fever (OR, 0.663 (95% CI 0.454-0.967); p = 0.033), malignancy (OR, 7.095 (95% CI 2.142-23.500); p = 0.001), congestive heart failure (OR, 2.341 (95% CI 1.046-5.239); p = 0.038), appropriate empiric antimicrobial treatment (OR, 0.445 (95% CI 0.216-0.914); p = 0.027), and surgery in the last month (OR, 0.137 (95% CI 0.037-0.499); p = 0.003). Appropriate empiric antimicrobial treatment in VAP due to Acinetobacter spp. was associated with survival while renal injury and comorbid conditions increased mortality. Hence, early diagnosis and appropriate antibiotic therapy remain crucial to improve outcomes

Mortality Risk Factors among Critically Ill Children with Acute COVID-19 in PICUs: A Multicenter Study from Turkish Pediatric Critical COVID-19 and MIS-C Study Group

© 2022 Lippincott Williams and Wilkins. All rights reserved.Background: During the coronavirus disease 2019 (COVID-19) pandemic, the world has a large number of reported COVID-19 cases and deaths. Information on characteristics and mortality rate of pediatric intensive care unit (PICU) cases with COVID-19 remains limited. This study aims to identify the risk factors for mortality related to COVID-19 in children admitted to PICU. Methods: A retrospective multicenter cohort study was conducted between March 2020 and April 2021 at 44 PICUs in Turkey. Children who were 1 month-18-year of age with confirmed COVID-19 admitted to PICU were included in the study. Children with multisystem inflammatory syndrome and asymptomatic for COVID-19 were excluded. Results: Of 335 patients with COVID-19, the median age was 6.8 years (IQR: 1.2-14) and 180 (53.7 %) were male, 215 (64.2 %) had at least one comorbidity. Age and gender were not related to mortality. Among 335 patients, 166 (49.5%) received mechanical ventilation, 17 (5.1%) received renal replacement therapy and 44 (13.1 %) died. Children with medical complexity, congenital heart disease, immunosuppression and malignancy had significantly higher mortality. On multivariable logistic regression analysis, organ failure index [odds ratio (OR): 2.1, 95 confidence interval (CI): 1.55-2.85], and having congenital heart disease (OR: 2.65, 95 CI: 1.03-6.80), were associated with mortality. Conclusions: This study presents detailed data on clinical characteristics and outcomes of patients with COVID-19 admitted to PICU in the first pandemic year in Turkey. Our study shows that having congenital heart disease is associated with mortality. In addition, the high organ failure score in follow-up predict mortality