This research deals with compound sentences in the German language and how to transform them and transfer them into a main sentence, touching on their functions and characteristics. Actual to nominative, which is a unique feature of the German language, with some diverse examples taken from various sources.This case is distinguished, like other grammatical cases, with its positives and negatives, as some difficulties and obstacles that arise when using this type of sentences have been clarified, which are difficult to formulate, use and understand. And that this grammatical situation is almost confined to scientific texts with all their branches, for example, medical, legal, literary and political texts and other scientific disciplines.In this work, I tried to focus on the reasons for converting compound sentences into main sentences and the conditions and controls that these sentences are subject to during conversion in terms of attention to the elements of the sentence affected by that change and the grammatical situation such as tools.Prämisse
In dieser Arbeit werden eines der wichtigsten grammatischen Themen und ihre Schwierigkeiten dargestellt, in denen die Lernenden gerieten. Dieses Thema lautet die Umformung des hypotaktischen Satzes in einen Hauptsatz und was daraus ergebendes grammatikalisches Phänomen Nominalisierung im Deutschen hat gezielt, einerseits die Schwierigkeiten bei der Bildung und Umwandlung hypotaktischer Sätze zu untersuchen und andererseits der Begriff Nominalisierung aus der Sicht der arabischen Deutschlernenden am Fachbereich Germanistik, der Universität Bagdad zu beleuchten. Das nächste Ziel bezieht sich daran, ob dieses Phänomen die Nominalisierung erst jetzt an Bedeutung gewonnen hat. Semantische und syntaktische Übersicht wird dargestellt und untersucht, zu diesem Zweck wird die Konjunktionen und Präpositionen behandelt, die dem Umwandlungsprozess folgen. Diese umgeformten Sätze, die als Sprachstil sowohl in der geschriebenen Sprache als auch in der gesprochenen Sprache betrachtet werden, werden im Laufe der Arbeit näher erklärt.
Diese vorliegende Arbeit besteht aus zwei Abschnitten. Im Ersten Abschnitt werden die resultierten Kategorie klassifiziert und gekennzeichnet wird: Das Phänomen Nominalisierung, die durch den Umformungsprozess der Nebensätze und Hauptsätze in einem Hauptsatz wie Kausalsätze, Konditionalsätze, Konzessivsätze, Finalsätze und Konsekutivsätze, die Nominalausdrücke, die durch die Umwandlung der Verbalausdrücke resultiert wird und die substantivierten Wortarten. All dies wird im Laufe der Arbeit näher beleuchtet, wo jede von denen mit konkreten Beispielen ergänzt wird. Der zweite Abschnitt behandelt Ergebnisse einiger Studenten an der Germanistischen Abteilung mit ihrer Analyse. Fazit und Quellen befindet sich am Ende dieser Arbeit.
This phenomenon is used in the German language, which has a special flavor in terms of the style that keeps us away from laziness in description or clarification. At the same time, it is not possible to rely completely on this grammatical phenomenon and to stay away from compound sentences because, like other grammatical phenomena, and as mentioned above, they cause stylistic problems when used in purely scientific texts. In which. Therefore, we often find this type in literary works.
The research aims to identify the educational plan for the private and public kindergartens. The researchers selected a sample consisted of (59) female teachers for the private kindergartens and (150) female teachers for the public kindergartens in the city of Baghdad. As for the research tool, the two researchers designed a questionnaire to measure the educational plan for the private and public kindergartens. The results revealed that private kindergartens have educational plans that contribute considerably to classroom interaction, the public kindergartens lack for educational plans. In light of the findings of the research, the researchers recommend the following: the need to set up a unified educational plan for the priv
... Show MoreIn this research, the performance of a two kind of membrane was examined to recovering the nutrients (protein and lactose) from the whey produced by the soft cheese industry in the General Company for Food Products inAbo-ghraab.Wheyare treated in two stages, the first including press whey into micron filter made of poly vinylidene difluoride (PVDF) standard plate type 800 kilo dalton, The membrane separates the whey to permeate which represent is the main nutrients and to remove the fat and microorganisms.The second stage is to isolate the protein by using ultra filter made of polyethylsulphone(PES)type plate with a measurement of 10,60 kilo dalton and the recovery of lactose in the form of permeate.
The results showed that the percen
Isolation and identification fungi of Emericella nidulans and Aspergillus flavus from a pinkish and yellowish artificial clay, by using potato dextrose agar (PDA). Results revealed that E. nidulans was the best for degrading anthracene (92.3%) with maximum biomass production (3.7gm/l), compared to A. flavus with the rate of degradation (89%) and biomass production of (1.2gm/l), when methylene blue was used as redox indicator after incubating in a shaker incubator 120rpm at 30Co for 8days. Results indicated that E. nidulans has a high ability of anthracene degradation with the rate of (84%), while A. flavus showed the lower level with (77%) by using HPLC.
We have studied new subclass B (A, B,γ) over multivalent functions. We have present some effects because of the category B (A, B,γ). We bear mentioned simple properties, convolution properties, incomplete sums, weighted mean, arithmetic mean, linear combination, inclusion rapport and neighborhood properties, software concerning fractional calculus then vile residences because of both the classes…
In this research, we present a nonparametric approach for the estimation of a copula density using different kernel density methods. Different functions were used: Gaussian, Gumbel, Clayton, and Frank copula, and through various simulation experiments we generated the standard bivariate normal distribution at samples sizes (50, 100, 250 and 500), in both high and low dependency. Different kernel methods were used to estimate the probability density function of the copula with marginal of this bivariate distribution: Mirror – Reflection (MR), Beta Kernel (BK) and transformation kernel (KD) method, then a comparison was carried out between the three methods with all the experiments using the integrated mean squared error. Furthermore, some
... Show MoreFrom a health standpoint, fluoride (F) is a vital element for humans. It had harmful effects on numerous organs when consumed in high dosages. Fluoride poisoning has been linked to liver damage. The purpose of this study was to see how sodium fluoride (Naf) affected liver function and the glycemic index in adult male albino rats. Fourteen (14) adult male Wistar albino rats were randomly and evenly divided into two groups and given the following treatments for thirty (30) days: G1 Group (Control group), were given distilled water and fed a balanced diet, G2 rats were administered water that contained 100 ppm Naf. The animals were fasted for 8-12 hours before being anesthetized and blood samples were taken by heart puncture technique
... Show MoreFrom a health standpoint, fluoride (F) is a vital element for humans. It had harmful effects on numerous organs when consumed in high dosages. Fluoride poisoning has been linked to liver damage. The purpose of this study was to see how sodium fluoride (Naf) affected liver function and the glycemic index in adult male albino rats. Fourteen (14) adult male Wistar albino rats were randomly and evenly divided into two groups and given the following treatments for thirty (30) days: G1 Group (Control group), were given distilled water and fed a balanced diet, G2 rats were administered water that contained 100 ppm Naf. The animals were fasted for 8-12 hours before being anesthetized and blood samples were taken by heart puncture technique
... Show MoreIn this paper, we deal with games of fuzzy payoffs problem while there is uncertainty in data. We use the trapezoidal membership function to transform the data into fuzzy numbers and utilize the three different ranking function algorithms. Then we compare between these three ranking algorithms by using trapezoidal fuzzy numbers for the decision maker to get the best gains