985 resultados para 323.1


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Contiene: Tomo 1: Parte primera ([20], XXXII, 280 [i.e. 272], [2] p., [2] h. de grab.). - Tomo 2: Sigue la parte primera ([4], 292 p., [2] h. de grab. pleg.). - Tomo 3: Parte segunda ( [20], 396 p., [1] h. de grab. pleg.). - Tomo 4: Sigue la parte segunda ([4], 323, [1] p.)

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Supplement zu den Verhandlungen des Naturhistorischen Vereins der preussischen Rheinlande und Westfalens. 38. jahrg., 4. folge, 8. jahrg.

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Vol. 1: xi, [2], 14-319, [1] p., [1] folded leaf of plates (last page blank); v. 2: iv, [1], 6-302 p.; v. 3: iv, [1], 6-312 p.; v. 4: 287, [1] p. (last page blank); v. 5: iv, [1], 6-323, [1] p. (last page blank); v. 6: iv, [1], 6-302 p.; v. 7: iv, [1], 6-326 p.; v. 8: iv, [1], 6-296 p.; v. 9: iv, [1], 6-311, [1] p. (last page blank); v. 10: [4], 250 p.

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A gazdaság növekedés felgyorsulása hosszú távon először szükségszerűen csak egy rövid helyreállítási perióduson keresztül valósulhat meg, amelynek során a növekedés ütemét a válságok miatt elmaradt vagy más okból elmulasztott növekedés pótlása gyorsítja fel. Ez azonban messze nem jelenti a hosszú távú növekedési ütem felgyorsulását. A jelenséget először Jánossy Ferenc írta le, akinek megállapításai ma is érvényesek: egy jelentős visszaesés, majd stagnálás után a növekedési ütem 2005 után visszaállt az 1980 óta kialakult 1,5 százalékos hosszú távú ütemre. A Jánossy-féle szakmastruktúra-tényező nem más, mint a tudástőke: a munkaképes lakosság személyes tudása, jártassága és motivációja. Ezek az összetevők egy újrafogalmazott termelési függvény emberi elemei számos új és már korábban is ismert tényező mellett. Az emberi erőforrások nyilvántartása nem kompetenciaalapú, és emiatt a hosszú távú növekedési ütem alacsony szintjét sem tudjuk megmagyarázni. A növekedési ütem ingadozásai mögött elsősorban gazdaságpolitikai hibákat, érdemeket keresünk, holott az emberi beruházások elégtelen szintje jelenti a problémát, amely a múlt örökségnek és a jelen terheinek súlya alatt nem oldódik meg automatikusan. A magyar gazdaság egy újabb helyreállítási periódus előtt áll, s a gazdasági átalakítás alapvető feladata a foglalkoztatható lakosság aktivizálása, enélkül minden növekedési gyorsulás csak átmeneti helyreállítási periódus marad. JEL kód: B23, C22, E01, O11. /===/ Acceleration of economic growth in the long term can primarily be achieved only through a short period of consolidation, in which the growth rate of growth by recession or made up for by growth potential neglected for other reasons. But this is far from equivalent to an acceleration of the long-term growth rate. The phenomenon was described first by Ferenc Jánossy, whose conclusions remain valid to this day: after a substantial slump and a period of stagnation, the growth rate recovered after 2005 the long-term rate of 1.5 per cent that had set in after 1980. Jánossy's trade structure factor amounts to capital in knowledge: the personal know-how, expertise and motivation of the able-bodied population. These factors are the human constituents of a newly formulated production function, along with numerous new and previously known factors. The registration of human resources is competence- based and so it cannot explain the low level of the long-term growth rate either. People tend primarily to see failures and achievements of economic policy behind the failures and achievements of economic policy, when the real problem is inadequate human investment, which will not resolve itself automatically under the weight of the past and present burdens. The Hungarian economy is on the brink of a new period of recovery, and the basic task of economic transformation is to activate the employable population, without which any acceleration of growth will amount only to a temporary period of recovery.

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A critical question regarding the organic carbon cycle in the Arctic Ocean is whether the decline in ice extent and thickness and the associated increase in solar irradiance in the upper ocean will result in increased primary production and particulate organic carbon (POC) export. To assess spatial and temporal variability in POC export, under-ice export fluxes were measured with short-term sediment traps in the northern Laptev Sea in July-August-September 1995, north of the Fram Strait in July 1997, and in the Central Arctic in August-September 2012. Sediment traps were deployed at 2-5 m and 20-25 m under ice for periods ranging from 8.5 to 71 h. In addition to POC fluxes, total particulate matter, chlorophyll a, biogenic particulate silica, phytoplankton, and zooplankton fecal pellet fluxes were measured to evaluate the amount and composition of the material exported in the upper Arctic Ocean. Whereas elevated export fluxes observed on and near the Laptev Sea shelf were likely the combined result of high primary production, resuspension, and release of particulate matter from melting ice, low export fluxes above the central basins despite increased light availability during the record minimum ice extent of 2012 suggest that POC export was limited by nutrient supply during summer. These results suggest that the ongoing decline in ice cover affects export fluxes differently on Arctic shelves and over the deep Arctic Ocean and that POC export is likely to remain low above the central basins unless additional nutrients are supplied to surface waters.

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We present the NumbersWithNames program which performs data-mining on the Encyclopedia of Integer Sequences to find interesting conjectures in number theory. The program forms conjectures by finding empirical relationships between a sequence chosen by the user and those in the Encyclopedia. Furthermore, it transforms the chosen sequence into another set of sequences about which conjectures can also be formed. Finally, the program prunes and sorts the conjectures so that themost plausible ones are presented first. We describe here the many improvements to the previous Prolog implementation which have enabled us to provide NumbersWithNames as an online program. We also present some new results from using NumbersWithNames, including details of an automated proof plan of a conjecture NumbersWithNames helped to discover.