Miracle-dz/UniFAR-FTUs huggingface dataset:
Postcorrection and Mathematical Model of Life In Extended Everett's Concept

Extended Everett's Concept (EEC) recently developed by the author to explain the phenomenon of consciousness is considered. A mathematical model is proposed for the principal feature of consciousness assumed in EEC, namely its ability (in the state of sleep, trance or meditation, when the explicit consciousness is disabled) to obtain information from all alternative classical realities (Everett's worlds) and select the favorable realities. To represent this ability, a mathematical operation called postcorrection is introduced, which corrects the present state to guarantee certain characteristics of the future state. Evolution of living matter is thus determined by goals (first of all by the goal of survival) as well as by causes. The resulting theory, in a way symmetrical in time direction, follows from a sort of antropic principle. Possible criteria for postcorrection and corresponding phenomena in the sphere of life are classified. Both individual and collective criteria of survival are considered as well as the criteria providing certain quality of life and those which are irrelevant to the life quality. The phenomena of free will and direct sighting of truth (e.g. scientific insight) are explained in these terms. The problem of artificial intellect and the role of brain look differently in the framework of this theory. Automats may perform intellectual operations, but not postcorrection, therefore artificial intellect but not an artificial life can be created. The brain serves as an interface between the body and consciousness, but the most profound level of consciousness is not a function of brain.
Isoperimetric inequalities and mixing time for a random walk on a random point process

We consider the random walk on a simple point process on $\Bbb{R}^d$, $d\geq2$, whose jump rates decay exponentially in the $\alpha$-power of jump length. The case $\alpha =1$ corresponds to the phonon-induced variable-range hopping in disordered solids in the regime of strong Anderson localization. Under mild assumptions on the point process, we show, for $\alpha\in(0,d)$, that the random walk confined to a cubic box of side $L$ has a.s. Cheeger constant of order at least $L^{-1}$ and mixing time of order $L^2$. For the Poisson point process, we prove that at $\alpha=d$, there is a transition from diffusive to subdiffusive behavior of the mixing time.
Personality Change: Implications for Organizational Behavior

The paper focuses on an emergent debate in organizational behavior concerning personality stability and change. We introduce foundational psychological research concerning whether individual personality, in terms of traits, needs, and personal constructs, is fixed or changeable. Based on this background, we review recent research evidence on the antecedents and outcomes associated with personality change. We build on this review of personality change to introduce new directions for personality research in organizational behavior. Specifically, we discuss how a view of personality as changeable contributes to key topics for organizational behavior research, and how this new approach can help broaden and deepen the scope of personality theory and measurement. The study of personality change offers a range of new ideas and research opportunities for the study of organizational behavior.
A Java Library for Bidirectional XML Transformation

We propose a Java library BiXJ for bidirectional XML transformation. The feature of BiXJ is that when writing one transformation, users can get its corresponding backward transformation for free. The transformations in this library adopt the native XML data model and concentrate on the widely accepted methods of constructing and destructing XML documents. By this design principle, we expect this library is expressive enough, and moreover it does not confuse the users due to providing too many transformations. The di‐culty in this work is to seek more suitable semantics for the bidirectional transformations since the semantics in the previous work is too limited to express both useful transformations (e.g., generating multiple elements) and updates . To demonstrate its usability and expressiveness, we have bidirectionalized some typical examples of XQuery and XSLT using this library. The results of these experiments are promising.
User Requirements for a Functional Design of an Enterprise Architecture Model Repository

enterprises document their activities, business processes, information systems and technologies in the form of models. Together these models form Enterprise Architecture (EA). There are different levels of EA maturity according to recent surveys. In this paper it is argued that the requirements for a repository for the storage of the EA are dependent on the EA maturity. The conducted survey shows that the requirements for an Architecture Model Repository show differences between the EA maturity phases. For a combination of phases a functional design is proposed.
Network structure in matters of taste : can social networks predict cuisine taste ?

This paper explores the problem of inferring user interests from social network structure. Research in network-based social behavior has demonstrated that people tend to form connections with people having similar interests to their own. Known as homophily, or the “birds of a feather” phenomenon, this tendency significantly informs the structure of certain social networks. We use network analysis techniques to explore the correlation between restaurant reviewer tastes and the tastes of their friends on the Yelp! social network. Then, we present a variety of algorithms for predicting a reviewer? s tastes based on the structure of the reviewer? s ego network. These include an array of statistically learned classifiers, as well as a modified version of the deterministic autocorrelation model of Wen & Lin (2010).
Scattered Reflections on Scattering Parameters - Demystifying Complex-Referenced S Parameters -

The most commonly used scattering parameters (S parameters) are normalized to a real reference resistance, typically 50Ω. In some cases, the use of S parameters normalized to some complex reference impedance is essential or convenient. But there are different definitions of complex-referenced S parameters that are incompatible with each other and serve different purposes. To make matters worse, different simulators implement different ones and which ones are implemented is rarely properly documented. What are possible scenarios in which using the right one matters? This tutorial-style paper is meant as an informal and not overly technical exposition of some such confusing aspects of S parameters, for those who have a basic familiarity with the ordinary, real-referenced S parameters. key words: S parameters, reflection coefficient, transmission coefficient, traveling waves, pseudo waves, power waves, reference impedance, renormalization transformation
MUTUAL ENTROPY IN QUANTUM INFORMATION AND INFORMATION GENETICS

After Shannon, entropy becomes a fundamental quantity to describe not only uncertainity or chaos of a system but also information carried by the system. Shannon’s important discovery is to give a mathematical expression of the mutual entropy (information), information transmitted from an input system to an output system, by which communication processes could be analyzed on the stage of mathematical science. In this paper, first we review the quantum mutual entropy and discuss its uses in quantum information theory, and secondly we show how the classical mutual entropy can be used to analyze genomes, in particular, those of HIV.
GENETIC TRANSFORMATION AND HYBRIDIZATION

Polysaccharide-linked hydroxycinnamoyl esters (PHEs) over-accumulate in the internodes of a rice (Oryza sativa L.) mutant, Fukei 71 (F71). This accumulation is accompanied by over-expression of phenylalanine ammonialyase (PAL). In this study, we show that only one member of the 3-deoxy-D-arabino-heptulosonate 7phosphate synthase (DAHPS) family expresses in close correlation with PAL. Furthermore, substrate availability to DAHPS is promoted by down-regulating the expression of plastidic pyruvate kinase (PKp), a competitor of DAHPS. Since the over-production of PHEs is caused by D50 gene disruption, these results suggest that specific enzymes in the phenylpropanoid and shikimate pathways are coordinately up-regulated. In addition, the results indicate that carbon-flow into the shikimate pathway is modified for the synthesis of PHEs, and is probably controlled by D50. Communicated by H. Ebinuma K. Sato · K. Mase · Y. Nakano · N. Nishikubo · R. Sugita · Y. Tsuboi · S. Kajita · J. Zhou · Y. Katayama ( ) Graduate School of Bio-Applications and Systems Engineering, Tokyo University of Agriculture and Technology, Koganei, Tokyo 184-8588, Japan e-mail: kyamam@cc.tuat. ac.jp Tel. : + 81-42-388-7364 Fax: + 81-42-388-7364 H. Kitano Bioscience and Biotechnology Center, Nagoya University, Nagoya, Aichi 464-8601, Japan Y. Tsuboi RIKEN, Plant Science Center, 1-7-22 Suehiro, Tsurumi-ku, Yokohama-shi, Kanagawa 230-0045, Japan Present address: N. Nishikubo RIKEN, Plant Science Center, 1-7-22 Suehiro, Tsurumi-ku, Yokohama-shi, Kanagawa 230-0045, Japan
Galerkin analysis for Schrödinger equation by wavelets

We consider the perturbed Schrodinger equation, which is an elliptic operator with unbounded coefficients. We use wavelets adapted to the Schrodinger operator to deal with problems on the unbounded domain. The wavelets are constructed from Hermite functions, which characterizes the space generated by the Schrodinger operator. We show that the Galerkin matrix can be pre-conditioned by a diagonal matrix so that its condition number is uniformly bounded. Moreover, we introduce a periodic pseudo-differential operator and show that its discrete Galerkin matrix under periodic wavelet system is equal to the Galerkin matrix for the equation with unbounded coefficients under the Hermite system. The convergence is proved in the L2 topology.
Product Line Acquisition in the DoD: The Promise, The Challenges

Abstract : Industrial use of software product line technology has resulted in some impressive savings, while also improving product quality and delivery time. Although there has been some successful use of this technology within the Department of Defense (DoD), there are special challenges. This paper presents the basics of product line practices and reports the results of two DoD product line workshops in which important issues and successful practices were shared.
GridCuda: A Grid-Enabled CUDA Programming Toolkit

A grid-enabled programming toolkit called GridCuda is proposed in this paper. This programming toolkit provides a platform for users to write programs with the CUDA API, and exploit GPGPU resources available in computational grids to execute their programs. Whenever the CUDA functions in user programs are invoked, they will be transparently redirected to remote GPGPUs for execution by means of remote procedure calls. This programming toolkit also supports multithreaded programming so that the work of a CUDA program can be distributed over multiple GPGPUs for parallel execution.
Aspects of Duality

This thesis discusses various aspects of duality in quantum field theory and string theory. In the first part we consider duality in topological quantum field theories, concentrating on the Donaldson and Seiberg-Witten theories as (dual) approaches to the study of four-manifolds. Lower-dimensional variants of these theories are also discussed. In the second part of the thesis we discuss duality in 2D sigma models by studying the interplay between renormalization group flows - as generated by the beta functions - and T-duality. The hypothesis put forward in the thesis is that for these to be mutually consistent, they should commute as operators in parameter space. The last part of the thesis bring these subjects into perspective by reviewing some nonperturbative dualities in string theory.
Fuzzy Clustering for Categorical Spaces An Application to Semantic Knowledge Bases

A multi-relational clustering method is presented which can be ap- plied to complex knowledge bases storing resources expressed in the standard Semantic Web languages. It adopts effective and language-independent dissim- ilarity measures that are based on a finite number of dimensions corresponding to a committee of discriminating features(represented by concept descriptions). The clustering algorithm expresses the possible clusterings in tuples of central el- ements (medoids, w.r.t. the given metric) of variable length. It iteratively adjusts these centers following the rationale of fuzzy clustering approach, i.e. one where the membership to each cluster is not deterministic but rather ranges in the unit interval. An experimentation with some ontologies proves the feasibility of our method and its effectiveness in terms of clustering validity indices.
THREE-DIMENSIONAL IMAGING OF SUBMERGED OBJECTS BY SIDE-SCAN SONAR DATA PROCESSING

The modern underwater acoustic equipment, like multibeam sonar, is able to provide the data which allow for unambiguous localization and also 3 visualisation of targets of different kinds, including wrecks, mines and other submerged objects. The large amount of information that seems to be useful for this purpose, could also be extracted from side-scan sonar data, which has been collected over years within different survey regions. In this context, the paper concerns the development of simple side-scan data processing method for 3 of wreck shape reconstruction and its imaging. The proposed method utilises two combined techniques: 1) the shape from shading (SFS) algorithm using several types of backscattering coefficient angular dependence function, and 2) the estimation of the elevation change using the dimension of acoustic shadow areas. The presented preliminary results are promising as they show quite good performance of the developed algorithm.
Trustworthiness-based Approach to Reliably Make Agreement among Peers in Scalable P2P Group

Information systems are being shifted to scalable architectures like Cloud and peer-to-peer (P2P) models. In this paper, we consider the P2P model as a fully distributed, scalable system different from centralized coordination systems in Cloud and Grid systems. A P2P system is composed of peer processes (peers). Here, applications are realized by activities and cooperations among multiple peers. In P2P systems, since there is no centralized coordination, each peer has to obtain information about others by itself. In the group activities, each group member has to be trustworthy so that malicious action of an individual peer cannot effect overall outcome of the whole group. It is important to consider the trustworthiness of each group member as a base of an agreement procedure in the distributed environment. The goal of the group and the way to archive the goal are decided by the group members. During the agreement procedure, opinion of each group member has to be considered. Malicious and unexpected behaviors of member peers can negatively effect the output of a group. Hence, it is significant to discuss how to compose a group only by including more trustworthy peers. In this paper, by taking advantage of the trustworthiness concept of each peer, we propose a novel approach to composing a trustworthy group in the distributed agreement protocols.
DISCOVERING SWITCHING AUTOREGRESSIVE DYNAMICS IN NEURAL SPIKE TRAIN RECORDINGS

1. Abstract. Generalized linear models (GLM) are powerful tools for identifying dependence in spiking populations of neurons, both over time and within the population Paninski (2004). The GLM identifies these dependencies by modeling spiking patterns through a linear regression and an appropriately-selected link function and likelihood. This regression setup is appealing for its simplicity, the wide variety of available priors, the potential for interpretability, and its computational efficiency. However, the GLM suffers from at least three notable deficiencies. First, the model is linear up to the link function, which only allows a limited range of response maps from neural spiking histories. Second, the model’s parameters are fixed over time, while neural responses may vary due to processes that are exogenous to the population. Third, the generalized linear model presupposes a characteristic time scale for all dynamics, when there may be multiple, varying time scales of neural activity in a given population. Here we seek to address these deficiencies via a switching variant of the generalized linear model. A switching system is one that evolves through a set of discrete states over time, with each state exhibiting its own lowlevel dynamics. For example, the latent state of a hidden Markov model (HMM) can be used to determine the parameters of an autoregressive (AR) process. These HMM-AR models can be used to identify common patterns of linear dependence that vary over time. Bayesian nonparametric versions of HMM-AR models extend these ideas to allow for an infinite number of such patterns to exist a priori, and semi-Markov variants allow the different states to have idiosyncratic duration distributions. Here we develop GLM variants of these switching AR processes and specialize them for neural spiking data. In particular, we exploit recent data augmentation schemes for negative binomial likelihood functions Pillow and Scott (2012) to make inference tractable in HDP-HSMM-AR models with count-based observations.
A METHODOLOGY FOR HARDWARE TASKS SCHEDULING OPTIMIZED IN TIME FOR PARTIAL AND DYNAMIC RECONFIGURATION OF FPGAS

Current high-end Field-Programmable-Gate-Array (FPGA) parts offer a large number of configurable resources. These can be organized in custom storage structures such as tapped-delay lines, in addition to a number of very dense highcapacity Random-Access-Memory (RAM) and Content-Addressable-Memory (CAM) blocks. The extreme flexibility of the size, organization and interconnection between these storage resources enables compilers to generate custom hardware designs tailored to capture the application-specific data reuse opportunities. In this paper we outline the basic compiler data dependence analyses approaches that can be used to uncover reuse opportunities within a loop nest. We then describe the challenges of exploiting these opportunities in modern FPGAs.
Identification and Disruption of BetL, a Secondary Glycine Betaine Transport System Linked to the Salt Tolerance of Listeria monocytogenes LO28

ABSTRACT The trimethylammonium compound glycine betaine (N,N,N-trimethylglycine) can be accumulated to high intracellular concentrations, conferring enhanced osmo- and cryotolerance upon Listeria monocytogenes. We report the identification of betL, a gene encoding a glycine betaine uptake system in L. monocytogenes, isolated by functional complementation of the betaine uptake mutantEscherichia coli MKH13. The betL gene is preceded by a consensus ςB-dependent promoter and is predicted to encode a 55-kDa protein (507 amino acid residues) with 12 transmembrane regions. BetL exhibits significant sequence homologies to other glycine betaine transporters, including OpuD fromBacillus subtilis (57% identity) and BetP fromCorynebacterium glutamicum (41% identity). These high-affinity secondary transporters form a subset of the trimethylammonium transporter family specific for glycine betaine, whose substrates possess a fully methylated quaternary ammonium group. The observed Km value of 7.9 μM for glycine betaine uptake after heterologous expression of betL inE. coli MKH13 is consistent with values obtained forL. monocytogenes in other studies. In addition, abetL knockout mutant which is significantly affected in its ability to accumulate glycine betaine in the presence or absence of NaCl has been constructed in L. monocytogenes. This mutant is also unable to withstand concentrations of salt as high as can the BetL+ parent, signifying the role of the transporter in Listeria osmotolerance.
Some consideration about the model of human information processing

There are many types of intelligent systems used in modeling the information processing at the human brain level. The information processing is divided into two major parts: first part represents the information processing at the microstructure level (represented by sensory processes) and second part represents the information processing at the macrostructure level (represented by reasoning, memory and problem solving). In this context, the neural networks are used for model the first part of learning process - the primary stage of this and expert systems are used for model the second part of learning process ? the final stage of this. So, the information processing is model by a complex system which contains many intelligent control systems: neural network, expert system and hybrid intelligent systems.
Bötzinger Expiratory-Augmenting Neurons and the Parafacial Respiratory Group

In neonatal rat brains in vitro, the rostral ventral respiratory column (rVRC) contains neurons that burst just before the phrenic nerve discharge (PND) and rebound after inspiration (pre-I neurons). These neurons, called parafacial respiratory group (pfRG), have been interpreted as a master inspiratory oscillator, an expiratory rhythm generator or simply as neonatal precursors of retrotrapezoid (RTN) chemoreceptor neurons. pfRG neurons have not been identified in adults, and their phenotype is unknown. Here, we confirm that the rVRC normally lacks pre-I neurons in adult anesthetized rats. However, we show that, during hypercapnic hypoxia, a population of rVRC expiratory-augmenting (E-AUG) neurons consistently develops a pre-I discharge. These cells reside in the Bötzinger region of the rVRC, they express glycine-transporter-2, and their axons arborize throughout the VRC. Hypoxia triggers an identical pre-I pattern in retroambigual expiratory bulbospinal neurons, but this pattern is not elicited in Bötzinger expiratory-decrementing neurons, Bötzinger inspiratory neurons, RTN neurons, and blood pressure-regulating neurons. In conclusion, under hypoxia in vivo, abdominal expiratory premotor neurons of adult rats develop a pre-I pattern reminiscent of that observed in neonate brainstems in vitro. In the rVRC of adult rats, pre-I cells include selected rhythmogenic neurons (glycinergic Bötzinger neurons) but not RTN chemoreceptors. We suggest that the pfRG may not be an independent rhythm generator but a heterogeneous collection of E-AUG neurons (glycinergic Bötzinger neurons, possibly facial motor and premotor neurons), the discharge of which becomes preinspiratory under specific experimental conditions resulting from, in part, a prolonged and intensified activity of postinspiratory neurons.
Plasticity of plasticity? Changes in the pattern of perceptual correlates of reorganization after amputation.

We report a follow-up study on seven arm amputees in whom magnetic source imaging had originally revealed a strong correlation between the amount of cortical invasion of the deafferented cortex and the amount of pain evoked sensation mislocalized to the phantom limb. This re-examination was performed in order to corroborate the phenomenon of mislocalization. On follow-up examination for mislocalization 4 weeks later, a close correlation had remained between the original amount of cortical representational reorganization of the amputation zone (at the first examination) and the number of sites from where painful stimuli evoked sensations referred to the phantom limb, i.e. the amount of perceptual mislocalization, at the second examination. However, contrary to our expectation, the topography of referred sensation had completely changed in every patient. These results suggest that while the overall extent of reorganization is a rather stable phenomenon, the concomitant changes in the pattern of sensory processing are not. This may be due to the fact that alterations of sensory processing are not hardwired, but are rather mediated by an extensive and interconnected neural network with fluctuating synaptic strengths. This mechanism may be of importance for neurological rehabilitation.