3,115,145 research outputs found
Endüstriyel at ksular n ar t m nda yapay sulak alanlar n kullan m
No full textYapay sulak alanlar elli y l a k n süredir at k su ar t m için kullan lmaktad r. Genellikle evsel nitelikli at k sular n ar t m nda kullan lan yapay sulak alan sistemleri son yirmi y ld r endüstriyel kaynakl at k sular n ar t m nda da tercih edilmektedir. Ayr ca, yapay sulak alanlar, çevre dostu bir teknoloji olmas ve dü ük yat r m/i letim maliyeti nedeniyle k rsal bölge ve endüstrilerin at ksular n ar tmak için pahal geleneksel ar tma metotlar na alternatif bir yöntemdir. Dü ük enerji gereksinimi, kolay i letim ve bak m, maliyet verimlili i, arazi esteti i, yeniden kullan m ve canl lara ya am ortam olu turmas gibi pek çok avantaja sahip olan yapay sulak alanlar mühendislik sistemleridir. Bitki filtre malzemesi, hidroloji ve mikrobiyal topluluklar içermektedir. Ak türüne göre yüzeysel ve yüzey alt ak l yapay sulak alanlar olarak ikiye ayr l p, yüzey al ak l sistemler ise yatay ve dü ey yüzey alt ak l sistemler olarak alt gruba ayr lmaktad r. Farkl tip yapay sulak alanlar n özel avantajlar ndan yararlanmak için hibrit sistemler olarak birle tirilebilirler. Yapay sulak alan sistemlerinde fiziksel, kimyasal ve biyolojik ar t m mekanizmalar birlikte geli mektedir. Günümüzde özellikli karaktere sahip endüstriyel at ksular n ar t mda ba ar ile kullan lmaktad r. Yapay sulak alanlar n endüstriyel at k su ar t m ndaki ilk uygulamalar petrokimya, mezbaha, et i leme, süt ve ka t endüstrileri olup ard ndan tekstil, arap, sirke ve su ürünleri yeti tiricili i endüstrileri izlemi tir. Bu çal ma, serbest yüzeyli, yüzey alt ak l ve hibrit yapay sulak alan sistemlerinin çe itli endüstriyel at k sular n ar t m ndaki pilot ya da gerçek ölçekli çal malar ve farkl ülkelerdeki uygulamalar ile ilgili bilgileri kapsamaktad r
A s s e s s m e n t o f t h e L e v e l s o f P a r a t h y r o i d H o r m o n e , O e s t r o g e n a n d S e l e c t e d B o n e M i n e r a l s i n M e n o p a u s a l W o m e n
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Small area estimation via m-quantile geographically weighted regression
No full textThe effective use of spatial information, that is the geographic locations of population units, in a regression model-based approach to small area estimation is an important practical issue. One approach for incorporating such spatial information in a small area regression model is via Geographically Weighted Regression (GWR). In GWR the relationship between the outcome variable and the covariates is characterised by local rather than global parameters, where local is defined spatially. In this paper we investigate GWR-based small area estimation under the M-quantile modelling approach. In particular, we specify an M-quantile GWR model that is a local model for the M-quantiles of the conditional distribution of the outcome variable given the covariates. This model is then used to define a bias-robust predictor of the small area characteristic of interest that also accounts for spatial association in the data. An important spin-off from applying the M-quantile GWR small area model is that it can potentially offer more efficient synthetic estimation for out of sample areas. We demonstrate the usefulness of this framework through both model-based as well as design-based simulations, with the latter based on a realistic survey data set. The paper concludes with an illustrative application that focuses on estimation of average levels of Acid Neutralizing Capacity for lakes in the north-east of the USA.<br/
Informetrics on M. N. Srinivas
No full textM. N. Srinivas, the well known sociologist is widely recognised as architect of modern Indian sociology and social anthropology. His publications have been analysed by year, domain, authorship pattern, channels of communication used. Keywords, etc. The results indicate that the papers published by him are of a nature that qualify him to be a 'role model' for the younger generations to emulate.
By the end of 1995, Srinivas had to his credit 144 papers which, included 33 broad papers in sociology and anthropology; 18 papers in social change; 28 papers in village studies; 12 papers on religion; 17 papers on caste and 36 papers of general popular interest. The periods 1958-61 and 1974-77, when Srinivas was 38-41 and 58-61 years old. were his most productive periods with highest publication activity
Antonij Mancinelli Versilogus iam multis in locis recognitus & auctus per Iosephu[m] Horlenniu[m]. Adiectis breuibus & vtilib[us] co[m]me[n]tarijs viri vndecu[m]q[ue] doctissimi Ioa[n]nis Murmellij Ruremu[n]de[n]sis ...
No full textANTONIJ MANCINELLI VERSILOGUS IAM MULTIS IN LOCIS RECOGNITUS & AUCTUS PER IOSEPHU[M] HORLENNIU[M]. ADIECTIS BREUIBUS & VTILIB[US] CO[M]ME[N]TARIJS VIRI VNDECU[M]Q[UE] DOCTISSIMI IOA[N]NIS MURMELLIJ RUREMU[N]DE[N]SIS ...
Antonij Mancinelli Versilogus iam multis in locis recognitus & auctus per Iosephu[m] Horlenniu[m]. Adiectis breuibus & vtilib[us] co[m]me[n]tarijs viri vndecu[m]q[ue] doctissimi Ioa[n]nis Murmellij Ruremu[n]de[n]sis ... ( - )
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Closed Model Categories For [n,m]-Types
No full textFor m ? n ? 0, a map f between pointed spaces is said to be a weak [n; m]-equivalence if f induces isomorphisms of the homotopy groups ß k for n 6 k 6 m . Associated with this notion we give two different closed model category structures to the category of pointed spaces. Both structures have the same class of weak equivalences but different classes of fibrations and therefore of cofibrations. Using one of these structures, one obtains that the localized category is equivalent to the category of n-reduced CW - complexes with dimension less than or equal to m+ 1 and m-homotopy classes of cellular pointed maps. Using the other structure we see that the localized category is also equivalent to the homotopy category of (n - 1)-connected (m + 1)-coconnected CW -complexes
Resolución CSPyGE N° 47/2021. Modificar el valor del módulo (M)
No full textFil: Consejo Superior de Programación y Gestión Estratégica (P). Universidad Nacional de Río Negro. Río Negro, ArgentinaResolución CSPyGE N° 47/2021. Modificar el valor del módulo (M) estableciudo en el artículo 2° de la Resolución CSPyGE N° 50/2020, estableciéndolo en la suma de pesos diez mil (13.000).-tru
[Officer M. N. Donald, Arresting Officer [Negative]]
No full textPhotographs of M. N. McDonald. He is wearing a police uniform and has a streak along the left side of his face
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