42 research outputs found

    ANALISIS VERBA BERPREFIKS DENGAN VERBA DASAR KOMMEN DALAM BAHASA JERMAN

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    Verba merupakan suatu komponen yang mempunyai peranan penting dalam kalimat, karena verba digunakan untuk menyatakan tindakan (Handlungen), keadaan (ZustĂ€nde) dan peristiwa (VorgĂ€nge). Dalam bahasa Indonesia verba dapat dikombinasikan dengan imbuhan atau prefiks. Hal yang sama berlaku dalam bahasa Jerman. Akan tetapi berbeda dengan bahasa Indonesia, prefiks yang menyertai verba bahasa Jerman dapat mengubah makna dari verba dasarnya, seperti contoh verba kommen yang berarti ‘berasal’, ditambahkan prefiks ent- di awal verba, menjadi entkommen, maka maknanya berubah menjadi ‘melarikan diri’. Hal tersebut sangat penting untuk dipelajari dan dipahami oleh pembelajar. Berdasarkan hal tersebut peneliti tertarik untuk melakukan penelitian mengenai verba berprefiks dengan verba dasar kommen. Adapun tujuan penelitian ini adalah untuk mengetahui : 1) prefiks pada verba kommen, 2) jenis prefiks yang menyertai verba kommen berprefiks, dan 3) arti dari prefiks yang menyertai verba kommen berprefiks. Objek penelitian ini ialah verba kommen berprefiks yang terdapat dalam buku Tintenherz karya Cornelia Punke dan Majalah Brigitte terbitan 18 januari 2017. Adapun referensi yang digunakan untuk arti dari verba kommen berprefiks ialah Langenscheidt GroÎČwörterbuch Deutsch als Fremdsprache. Data yang ditemukan dalam penelitian ini adalah 47 kalimat dengan verba kommen berprefiks. Dari 47 kalimat tersebut ditemukan 12 macam verba kommen berprefiks, yaitu ankommen (3x), entkommen (4x), entgegenkommen (1x), heraufkommen (1x), herkommen (12x), mitkommen (7x), nachkommen (1x), vorbeikommen (3x), vorkommen (4x), wiederkommen (2x), zukommen (1x), dan zurĂŒckkommen (9x). Prefiks yang menyertai verba kommen terbagi menjadi dua jenis yaitu prefiks terikat dan tidak terikat, ada 9 macam prefiks yang masuk ke dalam jenis prefiks tidak terikat, dan 3 macam jenis prefiks terikat. Dari keseluruhan jumlah prefiks tersebut 2 macam prefiks memiliki arti lebih dari satu, yaitu prefiks her- dan vor-, sedangkan 10 prefiks lainnya yaitu prefiks an-, entgegen-, ent-, herauf-, mit-, nach-, vorbei-, wieder-, zu-, dan zurĂŒck- memiliki 1 arti. Berdasarkan hasil penelitian disarankan agar pembelajar dapat memperdalam prefiks melalui buku-buku gramatik dan membaca teks berbahasa Jerman berupa roman anak maupun artikel majalah. Adapun peneliti lain yang akan meneliti tentang prefiks disarankan untuk menggunakan referensi dan sumber data yang lebih banyak dan beragam. ABSTRAKT Verb ist ein Komponent, das eine wichtige Rolle in einem Satz spielt, da man ein Verb verwendet, um Handlungen, ZustĂ€nde und VorgĂ€nge zu bezeichnen. Im Indonesischen sind Verben mit Sufixen, PrĂ€fixen und so weiter kombinerbar. Das PhĂ€nomen gilt auch im Deutschen. Aber im Gegenteil zu Indonesisch kann das deutsche PrĂ€fix die Bedeutung von den Stammverben Ă€ndern, beispielweise, das Verb kommen heißt `berasalÂŽ auf Indonesisch, aber wenn man zu dem Verb das PrĂ€fix ent- setzt, dann bedeutet das Verb ÂŽmelarikan diriÂŽ auf Indonesisch. Solches linguistisches PhĂ€nomen ist sehr wichtig zu lernen und zu verstehen. In Bezug darauf interessiert sich die Verfasserin dafĂŒr, eine Untersuchung ĂŒber die Analyse der Verben mit PrĂ€fixen am Beispiel vom Verb “kommen” im Deutschen durchzufĂŒhren. Diese Untersuchung hat den Zweck, folgende Punkte herauszufinden: 1) PrĂ€fixen vom Verb kommen; 2) die Arten von PrĂ€fixen vom Verb kommen; 3) die Bedeutung der PrĂ€fixe vom Verb kommen. Objekt dieser Untersuchung sind die Verben kommen mit PrĂ€fixen, die sich im Roman „Tintenherz“ von Cornelia Punke und in der Magazine „Brigitte“ befinden, die am 18. Januar 2017 erschienen. Als Quelle fĂŒr die Bedeutungen der Verben kommen verwendet man das Langenscheidt GroÎČwörterbuch Deutsch als Fremdsprache. Die Ergebnisse der Untersuchung sind 47 SĂ€tze mit Verb kommen mit PrĂ€fixen. In diesen 47 SĂ€tzen wurden 12 Arten vom Verb kommen mit PrĂ€fixen gefunden. Sie sind nĂ€mlich, ankommen (3x), entkommen (4x), entgegenkommen (1x), heraufkommen (1x), herkommen (12x), mitkommen (7x), nachkommen (1x), vorbeikommen (3x), vorkommen (4x), wiederkommen (2x), zukommen (1x), und zurĂŒckkommen (9x). Die PrĂ€fixen bestehen aus zwei Arten, nĂ€mlich untrennbare und trennbare PrĂ€fixen. Es gibt 9 PrĂ€fixsorten, die zu den trennbaren PrĂ€fixen gehören und 3 PrĂ€fixsorten zu den untrennbaren PrĂ€fixen. Aus den Datenquellen werden 2 PrĂ€fixsorten gefunden, die zwei Bedeutungen haben. Sie sind PrĂ€fix her- und vor. Allerdings haben die 10 anderen PrĂ€fixe, namlich an-, entgegen-, ent-, herauf-, mit-, nach-, vorbei-, wieder-, zu-, und zurĂŒck-, nur eine Bedeutung. Basierend auf den Untersuchungsergebnissen sollten die Deutschlernenden mithilfe der grammatischen BĂŒcher die Beherrschung von PrĂ€fixen vertiefen und Texte im Deutschen lesen, beispielsweise Kinderromane und Artikel in Magazinen. DarĂŒber hinaus sollten andere weitere Untersucher in demselben Untersuchungsraum zahlreichere und vielfĂ€ltige Referenzen und Datenquellen benutzen

    The Arabidopsis thaliana F-box gene HAWAIIAN SKIRT is a new player in the microRNA pathway

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    In Arabidopsis, the F-box HAWAIIAN SKIRT (HWS) protein is important for organ growth. Loss of function of HWS exhibits pleiotropic phenotypes including sepal fusion. To dissect the HWS role, we EMS-mutagenized hws-1 seeds and screened for mutations that suppress hws-1 associated phenotypes. We identified shs-2 and shs-3 (suppressor of hws-2 and 3) mutants in which the sepal fusion phenotype of hws-1 was suppressed. shs-2 and shs-3 (renamed hst-23/hws-1 and hst-24/hws-1) carry transition mutations that result in premature terminations in the plant homolog of Exportin-5 HASTY (HST), known to be important in miRNA biogenesis, function and transport. Genetic crosses between hws-1 and mutant lines for genes in the miRNA pathway, also suppress the phenotypes associated with HWS loss of function, corroborating epistatic relations between the miRNA pathway genes and HWS. In agreement with these data, accumulation of miRNA is modified in HWS loss or gain of function mutants. Our data propose HWS as a new player in the miRNA pathway, important for plant growth

    Tree mode of death and mortality risk factors across Amazon forests

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    The carbon sink capacity of tropical forests is substantially affected by tree mortality. However, the main drivers of tropical tree death remain largely unknown. Here we present a pan-Amazonian assessment of how and why trees die, analysing over 120,000 trees representing > 3800 species from 189 long-term RAINFOR forest plots. While tree mortality rates vary greatly Amazon-wide, on average trees are as likely to die standing as they are broken or uprooted—modes of death with different ecological consequences. Species-level growth rate is the single most important predictor of tree death in Amazonia, with faster-growing species being at higher risk. Within species, however, the slowest-growing trees are at greatest risk while the effect of tree size varies across the basin. In the driest Amazonian region species-level bioclimatic distributional patterns also predict the risk of death, suggesting that these forests are experiencing climatic conditions beyond their adaptative limits. These results provide not only a holistic pan-Amazonian picture of tree death but large-scale evidence for the overarching importance of the growth–survival trade-off in driving tropical tree mortality

    Large-scale unit commitment under uncertainty: an updated literature survey

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    The Unit Commitment problem in energy management aims at finding the optimal production schedule of a set of generation units, while meeting various system-wide constraints. It has always been a large-scale, non-convex, difficult problem, especially in view of the fact that, due to operational requirements, it has to be solved in an unreasonably small time for its size. Recently, growing renewable energy shares have strongly increased the level of uncertainty in the system, making the (ideal) Unit Commitment model a large-scale, non-convex and uncertain (stochastic, robust, chance-constrained) program. We provide a survey of the literature on methods for the Uncertain Unit Commitment problem, in all its variants. We start with a review of the main contributions on solution methods for the deterministic versions of the problem, focussing on those based on mathematical programming techniques that are more relevant for the uncertain versions of the problem. We then present and categorize the approaches to the latter, while providing entry points to the relevant literature on optimization under uncertainty. This is an updated version of the paper "Large-scale Unit Commitment under uncertainty: a literature survey" that appeared in 4OR 13(2), 115--171 (2015); this version has over 170 more citations, most of which appeared in the last three years, proving how fast the literature on uncertain Unit Commitment evolves, and therefore the interest in this subject

    Author Correction: Tree mode of death and mortality risk factors across Amazon forests (Nature Communications, (2020), 11, 1, (5515), 10.1038/s41467-020-18996-3)

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    The original version of this Article contained an error in Table 2, where the number of individuals in the “All Amazonia” row was reported as 11,6431 instead of 116,431. Also, the original version of this Article contained an error in the Methods, where the R2 for the proportion of broken/uprooted dead trees increase per year was reported as 0.12, the correct value being 0.06. The original version of this Article contained errors in the author affiliations. The affiliation of Gerardo A. Aymard C. with UNELLEZGuanare, Herbario Universitario (PORT), Portuguesa, Venezuela Compensation International Progress S.A. Ciprogress–Greenlife

    Water table depth modulates productivity and biomass across Amazonian forests

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    Aim: Water availability is the major driver of tropical forest structure and dynamics. Most research has focused on the impacts of climatic water availability, whereas remarkably little is known about the influence of water table depth and excess soil water on forest processes. Nevertheless, given that plants take up water from the soil, the impacts of climatic water supply on plants are likely to be modulated by soil water conditions. Location: Lowland Amazonian forests. Time period: 1971–2019. Methods: We used 344 long-term inventory plots distributed across Amazonia to analyse the effects of long-term climatic and edaphic water supply on forest functioning. We modelled forest structure and dynamics as a function of climatic, soil-water and edaphic properties. Results: Water supplied by both precipitation and groundwater affects forest structure and dynamics, but in different ways. Forests with a shallow water table (depth <5 m) had 18% less above-ground woody productivity and 23% less biomass stock than forests with a deep water table. Forests in drier climates (maximum cumulative water deficit < −160 mm) had 21% less productivity and 24% less biomass than those in wetter climates. Productivity was affected by the interaction between climatic water deficit and water table depth. On average, in drier climates the forests with a shallow water table had lower productivity than those with a deep water table, with this difference decreasing within wet climates, where lower productivity was confined to a very shallow water table. Main conclusions: We show that the two extremes of water availability (excess and deficit) both reduce productivity in Amazon upland (terra-firme) forests. Biomass and productivity across Amazonia respond not simply to regional climate, but rather to its interaction with water table conditions, exhibiting high local differentiation. Our study disentangles the relative contribution of those factors, helping to improve understanding of the functioning of tropical ecosystems and how they are likely to respond to climate change

    Tree mode of death and mortality risk factors across Amazon forests

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    The carbon sink capacity of tropical forests is substantially affected by tree mortality. However, the main drivers of tropical tree death remain largely unknown. Here we present a pan-Amazonian assessment of how and why trees die, analysing over 120,000 trees representing > 3800 species from 189 long-term RAINFOR forest plots. While tree mortality rates vary greatly Amazon-wide, on average trees are as likely to die standing as they are broken or uprooted—modes of death with different ecological consequences. Species-level growth rate is the single most important predictor of tree death in Amazonia, with faster-growing species being at higher risk. Within species, however, the slowest-growing trees are at greatest risk while the effect of tree size varies across the basin. In the driest Amazonian region species-level bioclimatic distributional patterns also predict the risk of death, suggesting that these forests are experiencing climatic conditions beyond their adaptative limits. These results provide not only a holistic pan-Amazonian picture of tree death but large-scale evidence for the overarching importance of the growth–survival trade-off in driving tropical tree mortality
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