A Simplified Evaluation Procedure of the Scale of Fluctuation Combined Recurrence Averaging and Weighted Linear Regression

The divergence of properties from one location to another within a soil mass is termed spatial variability, which traditionally includes three parameters the mean, the standard deviation, and the scale of fluctuation, in order to stochastically describe a soil property. Among them, determining the scale of fluctuation in the evaluation of spatial variability of soil profiles is not easy due to soil condition complexity. A simplified procedure is presented in the paper to determine the scale of fluctuation combined recurrence averaging and weighted linear regression. The alternative approach utilizes widely usable spreadsheet to solve the problem more directly and efficiently.

Sampling and learning the Mallows and Weighted Mallows models under the Hamming distance

[EN]In this paper we deal with distributions over permutation spaces. The Mallows model is the mode l in use. The associated distance for permutations is the Hamming distance.

The variations and climatic significance of D/H ratios in the carbon-bound hydrogen of cellulose in trees

The σD values of nitrated cellulose from a variety of trees covering a wide geographic range have been measured. These measurements have been used to ascertain which factors are likely to cause σD variations in cellulose C-H hydrogen.

It is found that a primary source of tree σD variation is the σD variation of the environmental precipitation. Superimposed on this are isotopic variations caused by the transpiration of the leaf water incorporated by the tree. The magnitude of this transpiration effect appears to be related to relative humidity.

Within a single tree, it is found that the hydrogen isotope variations which occur for a ring sequence in one radial direction may not be exactly the same as those which occur in a different direction. Such heterogeneities appear most likely to occur in trees with asymmetric ring patterns that contain reaction wood. In the absence of reaction wood such heterogeneities do not seem to occur. Thus, hydrogen isotope analyses of tree ring sequences should be performed on trees which do not contain reaction wood.

Comparisons of tree σD variations with variations in local climate are performed on two levels: spatial and temporal. It is found that the σD values of 20 North American trees from a wide geographic range are reasonably well-correlated with the corresponding average annual temperature. The correlation is similar to that observed for a comparison of the σD values of annual precipitation of 11 North American sites with annual temperature. However, it appears that this correlation is significantly disrupted by trees which grew on poorly drained sites such as those in stagnant marshes. Therefore, site selection may be important in choosing trees for climatic interpretation of σD values, although proper sites do not seem to be uncommon.

The measurement of σD values in 5-year samples from the tree ring sequences of 13 trees from 11 North American sites reveals a variety of relationships with local climate. As it was for the spatial σD vs climate comparison, site selection is also apparently important for temporal tree σD vs climate comparisons. Again, it seems that poorly-drained sites are to be avoided. For nine trees from different "well-behaved" sites, it was found that the local climatic variable best related to the σD variations was not the same for all sites.

Two of these trees showed a strong negative correlation with the amount of local summer precipitation. Consideration of factors likely to influence the isotopic composition of summer rain suggests that rainfall intensity may be important. The higher the intensity, the lower the σD value. Such an effect might explain the negative correlation of σD vs summer precipitation amount for these two trees. A third tree also exhibited a strong correlation with summer climate, but in this instance it was a positive correlation of σD with summer temperature.

The remaining six trees exhibited the best correlation between σD values and local annual climate. However, in none of these six cases was it annual temperature that was the most important variable. In fact annual temperature commonly showed no relationship at all with tree σD values. Instead, it was found that a simple mass balance model incorporating two basic assumptions yielded parameters which produced the best relationships with tree σD values. First, it was assumed that the σD values of these six trees reflected the σD values of annual precipitation incorporated by these trees. Second, it was assumed that the σD value of the annual precipitation was a weighted average of two seasonal isotopic components: summer and winter. Mass balance equations derived from these assumptions yielded combinations of variables that commonly showed a relationship with tree σD values where none had previously been discerned.

It was found for these "well-behaved" trees that not all sample intervals in a σD vs local climate plot fell along a well-defined trend. These departures from the local σD VS climate norm were defined as "anomalous". Some of these anomalous intervals were common to trees from different locales. When such widespread commonalty of an anomalous interval occurred, it was observed that the interval corresponded to an interval in which drought had existed in the North American Great Plains.

Consequently, there appears to be a combination of both local and large scale climatic information in the σD variations of tree cellulose C-H hydrogen.

Adaptações transgeracionais do pâncreas endócrino em camundongos provenientes de restrição proteica materna In Utero

A exposição materna durante o período gestacional a uma dieta restrita em proteínas (LP) prejudica o desenvolvimento do pâncreas endócrino em sua prole e aumenta a susceptibilidade à hipertensão, diabetes e obesidade na vida adulta. Há evidências de que esse fenômeno pode persistir em gerações subsequentes. Objetivou-se avaliar o efeito da restrição proteica sobre o metabolismo da glicose e morfometria pancreática na prole F3 de camundongos ao nascimento e ao desmame. Para tanto, fêmeas virgens de camundongos Suíços (F0) foram acasaladas e receberam dieta normo-proteica (19% de proteína - NP) ou uma dieta isocalórica restrita em proteínas (5% de proteína - LP) durante toda a gravidez. Durante a lactação e o restante do experimento, todos os grupos receberam a dieta NP. Os filhotes machos foram nomeados F1 (NP1 e LP1). As fêmeas F1 e F2 foram acasaladas para produzir F2 e F3 (NP2, LP2, NP3 e LP3), respectivamente. Semanalmente, os filhotes foram pesados e calculada a taxa de crescimento alométrico (log [massa corporal] = log a + log b [idade]). Os animais foram sacrificados nos dias 1 e 21 de idade, a glicemia foi determinada e o pâncreas retirado, pesado e analisado por estereologia e imunofluorescência; a insulina foi mensurada aos 21 dias. Como resultados, os filhotes restritos na primeira geração (LP1) foram menores ao nascer, mas apresentaram um crescimento acelerado nos primeiros sete dias de vida, mostrando catch-up com os controles; a prole LP2 demonstrou a maior massa corporal ao nascimento e tiveram uma taxa de crescimento mais lenta durante a lactação; não houve diferença na massa corporal e na taxa de crescimento na geração F3. A massa de pâncreas foi diminuída em LP1-LP3 ao nascimento, contudo foi aumentada em LP2 ao desmame. A densidade de volume e o diâmetro das ilhotas foram menores em todos os grupos restritos no dia 1 e 21, somente LP1 teve o menor número de ilhotas. Ao nascer, a massa de células beta foi menor em LP1-LP3 e permaneceu baixa durante a lactação. No dia 1 e 21, os filhotes foram normoglicêmicos, entretanto foram hipoinsulinêmicos ao desmame. Portanto, a restrição de proteínas em camundongos durante a gestação produz alterações morfológicas nas ilhotas pancreáticas, sugerindo que a homeostase da glicose foi mantida por um aumento da sensibilidade à insulina durante os primeiros estágios de vida na prole ao longo de três gerações consecutivas.

A contribution to the knowledge of the skin albuminose cells of Torpedo ocellata Raf [Riv.Istochim.norm.pat. 8 411-416, 1962]

Glandular cells, other than the mucous cells, have been described in the skin of various groups of fish (Teleosts, Ganoids, Selachii) and they have been called 'albuminose' by various authors. The authors propose to study the albuminose cells in the skin of Torpedo ocellata Raf. from a histochemical point of view. The albuminose cells have a complex morphological structure and a correspondingly complicated histochemical make-up. One must treat them as an example of cell with secretions of a particular type, which must and will be better incorporated when more is known of characteristics existent in other species.

Weighted least-squares phase unwrapping algorithm based on derivative variance correlation map

Among different phase unwrapping approaches, the weighted least-squares minimization methods are gaining attention. In these algorithms, weighting coefficient is generated from a quality map. The intrinsic drawbacks of existing quality maps constrain the application of these algorithms. They often fail to handle wrapped phase data contains error sources, such as phase discontinuities, noise and undersampling. In order to deal with those intractable wrapped phase data, a new weighted least-squares phase unwrapping algorithm based on derivative variance correlation map is proposed. In the algorithm, derivative variance correlation map, a novel quality map, can truly reflect wrapped phase quality, ensuring a more reliable unwrapped result. The definition of the derivative variance correlation map and the principle of the proposed algorithm are present in detail. The performance of the new algorithm has been tested by use of a simulated spherical surface wrapped data and an experimental interferometric synthetic aperture radar (IFSAR) wrapped data. Computer simulation and experimental results have verified that the proposed algorithm can work effectively even when a wrapped phase map contains intractable error sources. (c) 2006 Elsevier GmbH. All rights reserved.