Characteristics and Tectonic Significance of the Gravity Field in South China

Based on gravity data processed with the matched filter, depth continuation and horizontal gradient we obtained the spatial distribution of the gravity field and made analyses of the tectonic framework of South China. Then, inversion was conducted for the depth to study the depth variation of the boundary between the crust and upper mantle, namely the Mohorovicic discontinuity (Moho). The results demonstrate that the Moho depth in South China ranges from 30 to 40 km, and the crust thins from west to east, 27-29 km under the continent margin and shallow sea. We think it possible that the Tanlu fault crosses the Yangtze River and extends southwards along the Ganjiang and Wuchuan-Sihui faults to the South China Sea, and that there is an E-W hidden structural belt along 24.5°-26°.

Solution to the Mind-Body Relation Problem: Information

In this paper it is analyzed from the informational perspective the relation between mind and body, an ancientphilosophic issue defined as a problem, which still did not receive up to date an adequate solution. Byintroducing/using the concept of information, it is shown that this concept includes two facets, one of themreferring to the common communications and another one referring to a hidden/structuring matter-relatedinformation, effectively acting in the human body and in the living systems, which determines the dynamicinter-change of information between specific structures of the organism by electric/electronic/chemical agents andgenetic/epigenetic processes. It is shown that the maintenance of body, permanently and obligatory depending onthe external matter (foods, air, water) resources, needed to provide both the structuring/restructuring basic materialand energy, determines the necessary existence of an info-managing system, administrating the internalmechano-chemical/physical processes. As a natural consequence, such a system should organize and assure ownsurvival by an effective informational operability to detect the external food resources, to select the appropriateinterest information and to decide as a function of circumstances. One important component in such aninformational system is memory, allowing to dispose of the reference informational data for analysis/comparisonand the selection between good and bad binary possible decisions. The memory receives and stores thereforesignals from external reality and from the body itself, referring to the emotional reaction, digestion status, creation,and inherited predilections, within specific info-neural communication circuits between the brain and bodyexecution/sensitive organs, the human body appearing as an integrated info-matter self-managed dynamic system.The specific body components memorize information with different degrees of info-integration: short/long-termintegration, emotive/action reaction, info-abilities, culminating with the integration in the chromosomal structuresby epigenetic processes. The new acquired information is transgenerationally transmissible, and is manifested asnew traits, showing the adaptation capability of the human and close relation between mind and body. Analyzingthe results of such a mind-body informational model in comparison with the earlier assumed/proposed/assertedarchaic, Greek and Occidental philosophies, which represent only partial aspects of this relation, it is shown thatthis informational model, elaborated in terms of information on the basis of scientific reasons and arguments,constitutes a general, realist, and coherent model of the mind-body relation, able to integrate and/or explain most ofthe others.

A New Hidden Markov Model for Protein Quality Assessment Using Compatibility Between Protein Sequence and Structure

Protein structure Quality Assessment（QA） is an essential component in protein structure prediction and analysis. The relationship between protein sequence and structure often serves as a basis for protein structure QA.In this work, we developed a new Hidden Markov Model（HMM） to assess the compatibility of protein sequence and structure for capturing their complex relationship. More specifically, the emission of the HMM consists of protein local structures in angular space, secondary structures, and sequence profiles. This model has two capabilities：（1） encoding local structure of each position by jointly considering sequence and structure information, and（2）assigning a global score to estimate the overall quality of a predicted structure, as well as local scores to assess the quality of specific regions of a structure, which provides useful guidance for targeted structure refinement. We compared the HMM model to state-of-art single structure quality assessment methods OPUSCA, DFIRE, GOAP,and RW in protein structure selection. Computational results showed our new score HMM.Z can achieve better overall selection performance on the benchmark datasets.

Lower estimation of approximation rate for neural networks

Let SFd and ∏φ,n,d ={∑j^n=1bjφ（wj.x＋θj）：bj,θj∈R,wj∈R^d} be the set of periodic and Lebesgue＇s square-integrable functions and the set of feedforward neural network （FNN） functions, respectively. Denote by dist （SFd , ∏φ,n,d） the deviation of the set SFd from the set ∏φ,n,d. A main purpose of this paper is to estimate the deviation. In particular, based on the Fourier transforms and the theory of approximation, a lower estimation for dist （SFd and ∏φ,n,d） is proved. That is, dist（SFd and ∏φ,n,d） ≥C/（nlog2n）1/2. The obtained estimation depends only on the number of neuron in the hidden layer, and is independent of the approximated target functions and dimensional number of input. This estimation also reveals the relationship between the approximation rate of FNNs and the topology structure of hidden layer.