Chrestomathia Targumica : quam collatis libris manu scriptis antiquissimis Tiberiensibus editionibusque impressis celeberrimis ad codices vocalibus Babylonicis instructos

ed. adnotat. critica et glossario instruxit Adalbertus Merx

Kundmachung: Die nothwendige Errichtung von Infanterie-Reserve-Bataillons in Böhmen, Mähren und Inner-Oesterreich ...

Welsch (Projektbearbeiter): Ankündigung von Waffentransporten für Infanteriereservebataillone in Böhmen, Mähren und Innerösterreich

Does the Federal Reserve Follow a Non-Linear Taylor Rule?

The Taylor rule has become one of the most studied strategies for monetary policy. Yet, little is known whether the Federal Reserve follows a non-linear Taylor rule. This paper employs the smooth transition regression model and asks the question: does the Federal Reserve change its policy-rule according to the level of inflation and/or the output gap? I find that the Federal Reserve does follow a non-linear Taylor rule and, more importantly, that the Federal Reserve followed a non-linear Taylor rule during the golden era of monetary policy, 1985-2005, and a linear Taylor rule throughout the dark age of monetary policy, 1960-1979. Thus, good monetary policy is associated with a non-linear Taylor rule: once inflation approaches a certain threshold, the Federal Reserve adjusts its policy-rule and begins to respond more forcefully to inflation.

Conservation Reserve Program to Row Crop Demonstration

The demonstration project was designed to examine one way of preparing Conservation Reserve Program (CRP) land for row crop production. Many producers have successfully converted CRP land for this purpose; additionally, there was an opportunity for the research farm to gain experience in this area. The goal of the project was to document one way of going through the process.

IODP Expedition 337, Shimokita Deep Coalbed Biosphere

Microbial life inhabits deeply buried marine sediments, but the extent of this vast ecosystem remains poorly constrained. Here we provide evidence for the existence of microbial communities in ~40° to 60°C sediment associated with lignite coal beds at ~1.5 to 2.5 km below the seafloor in the Pacific Ocean off Japan. Microbial methanogenesis was indicated by the isotopic compositions of methane and carbon dioxide, biomarkers, cultivation data, and gas compositions. Concentrations of indigenous microbial cells below 1.5 km ranged from <10 to ~10**4 cells cm**-3. Peak concentrations occurred in lignite layers, where communities differed markedly from shallower subseafloor communities and instead resembled organotrophic communities in forest soils. This suggests that terrigenous sediments retain indigenous community members tens of millions of years after burial in the seabed.

Bones collection of Lena Delta reserve Tiksi, Appendix 4-6

Remains of large Pleistocene mammals always attract attention. Scientists and local people who work and live in the Laptev Sea Region find and collect various bones and fragments of large mammals. Some of them are brought to the Lena Delta Reserve. Mammal remains of the "Mammoth fauna" are the most common artifacts in the paleontological collection of the Lena Delta Reserve museum. The collection includes single bones, fragments of skeletons, bones with soft tissues and hair of Late Pleistocene and Holocene specimens. It consists of nearly 300 samples. The museum was created thanks to the enthusiasm of Dr. A. Gukov, the present director of the reserve. Employees of the reserve, school teachers, pupils and other interested people also contribute. The first specimens were collected in 1985. They were bison bones collected by Yarlykov Yu. A. on Makar Island (Yana Delta Region) near the Makar polar station; Efimov S. N. found horse and reindeer bones on the Myostakh Cape, Bykovsky Peninsula (Lena Delta Region). Mammoth and reindeer bones were collected by Gukov A. Yu. during the same year on Kurungnakh-Sise Island. Over more than 20 years many people have presented their finds to the reserve. These are samples from different islands of the Lena Delta Region, from the New Siberian Islands, from the Yana Delta Region, and from the southern coasts of the Laptev and East Siberian Seas. Most of the collection consists of bones from the Bykovsky Peninsula (about 100 samples) as well as from the islands of the Lena Delta Region. Unfortunately not all samples have exact information about their origins or is geological information available for all finds. It is typical for this exhibition that the finds were collected by amateurs (not during geological or paleontological expeditions). A considerable portion of the collection consists of finds of Dr. A. Gukov from different locations within the Lena Delta Reserve. In 2001 Dr. A. Sher delivered about 40 samples from the Bykovsky Peninsula (Mamontovy Khayata) to the museum.

Cognitive reserve benefits brain efficiency in healthy aging

The concept of cognitive reserve (CR) describes the mind’s resistance to the progressive damage of the brain and probably this can be reflected as the ability to recruit brain networks in an effective way. It is as- sociated with the abilityto copewith the deleterious effects of brain damage,brain degeneration, or age-related changes on cognitive performance.

Cognitive reserve is associated with the functional organization of brain networks in healthy aging: a MEG study

The proportion of elderly people in the population has increased rapidly in the last century and consequently "healthy aging" is expected to become a critical area of research in neuroscience. Evidence reveals how healthy aging depends on three main behavioral factors: social lifestyle, cognitive activity and physical activity. In this study, we focused on the role of cognitive activity, concentrating specifically on educational and occupational attainment factors, which were considered two of the main pillars of cognitive reserve. 21 subjects with similar rates of social lifestyle, physical and cognitive activity were selected from a sample of 55 healthy adults. These subjects were divided into two groups according to their level of cognitive reserve; one group comprised subjects with high cognitive reserve (9 members) and the other contained those with low cognitive reserve (12 members). To evaluate the cortical brain connectivity network, all participants were recorded by Magnetoencephalography (MEG) while they performed a memory task (modified version of the Sternberg¿s Task). We then applied two algorithms (Phase Locking Value & Phase-Lag Index) to study the dynamics of functional connectivity. In response to the same task, the subjects with lower cognitive reserve presented higher functional connectivity than those with higher cognitive reserve. These results may indicate that participants with low cognitive reserve needed a greater 'effort' than those with high cognitive reserve to achieve the same level of cognitive performance. Therefore, we conclude that cognitive reserve contributes to the modulation of the functional connectivity patterns of the aging brain.

Genes encoding beta-mannanases in Brachypodium distachyon seeds have a role not only in cell wall softening upon germination sensu stricto but also during post-germinative reserve mobilization

En la coleorriza en semillas de Brachypodium son abundantes los mananos y estos van desapareciendo conforme progresa la germinación (entre 12-27 h), al mismo tiempo se observa un pico de actividad endo-beta-mananasa. Se ha establecido que de los 6 miembros de la familia MAN en B. distachyon 3 se expresan en el embrión en germinación y BdMAN3 también es abundante en la aleurona.

Service Capacity Reserve under Uncertainty by Hospital’s ER Analogies: A Practical Model for Car Services

We define a capacity reserve model to dimension passenger car service installations according to the demographic distribution of the area to be serviced by using hospital?s emergency room analogies. Usually, service facilities are designed applying empirical methods, but customers arrive under uncertain conditions not included in the original estimations, and there is a gap between customer?s real demand and the service?s capacity. Our research establishes a valid methodology and covers the absence of recent researches and the lack of statistical techniques implementation, integrating demand uncertainty in a unique model built in stages by implementing ARIMA forecasting, queuing theory, and Monte Carlo simulation to optimize the service capacity and occupancy, minimizing the implicit cost of the capacity that must be reserved to service unexpected customers. Our model has proved to be a useful tool for optimal decision making under uncertainty integrating the prediction of the cost implicit in the reserve capacity to serve unexpected demand and defining a set of new process indicators, such us capacity, occupancy, and cost of capacity reserve never studied before. The new indicators are intended to optimize the service operation. This set of new indicators could be implemented in the information systems used in the passenger car services.