Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of postural stability in elderly with diabetic neuropathy.

OBJECTIVE The objective of this study was to compare clinical and biomechanical characteristics of balance in diabetic polyneuropathic elderly patients and normal age-matched subjects. RESEARCH DESIGN AND METHODS Fifteen elderly with distal neuropathy (DNP) and 15 healthy age-matched subjects were evaluated with the biomechanical variable COP-COM, which represents the distance between the center of pressure (COP) and the center of mass (COM). Measurements were taken in the quiet position with a double-leg stance, in eyes-open (EO) and eyes-closed (EC) conditions. Subjects were also assessed with clinical balance evaluations. RESULTS The COP-COM variable was statistically significantly larger in the DNP group than in the healthy group in anterior-posterior (A/P) and medial-lateral (M/L) directions. Furthermore, the DNP group showed statistically significantly larger amplitudes of the COP-COM variable without vision. The severity of the neuropathy, as quantified using the Valk scoring system, was correlated with COP-COM amplitude in both directions. CONCLUSIONS Evaluation of the postural stability of an elderly diabetic population using the COP-COM variable can detect a very small change in postural stability and could be helpful in identifying elderly with DNP at risk of falling.
Do Biological Measures Add Predictive Value in Screening for Stable Aggression in Children ?

The consequences associated with early onset aggression illustrate the importance of early intervention. In order to maximize the cost effectiveness of intervention, screening procedures must predict which children need intervention and which children do not. A staged screening may improve current procedures which maximize sensitivity and thus, risk overinclusion of healthy children. Electroencephalogram (EEG) research has shown patterns in frontal brain activity related to individual characteristics and emotion experience. EEG data will be examined to determine if biological markers of neural function prospectively differentiate between children at risk for stable aggressive behavior and those whose aggression is temporary.
TAK-875, an Orally Available G Protein-Coupled Receptor 40/Free Fatty Acid Receptor 1 Agonist, Enhances Glucose-Dependent Insulin Secretion and Improves Both Postprandial and Fasting Hyperglycemia in Type 2 Diabetic Rats

G protein-coupled receptor 40/free fatty acid receptor 1 (GPR40/FFA1) is highly expressed in pancreatic β cells and mediates free fatty acid-induced insulin secretion. This study examined the pharmacological effects and potential for avoidance of lipotoxicity of [(3S)-6-({2′,6′-dimethyl-4′-[3-(methylsulfonyl)propoxy]biphenyl-3-yl}meth-oxy)-2,3-dihydro-1-benzofuran-3-yl]acetic acid hemi-hydrate) (TAK-875), a novel, orally available, selective GPR40 agonist. Insulinoma cell lines and primary rat islets were used to assess the effects of TAK-875 in vitro. The in vivo effects of TAK-875 on postprandial hyperglycemia, fasting hyperglycemia, and normoglycemia were examined in type 2 diabetic and normal rats. In rat insulinoma INS-1 833/15 cells, TAK-875 increased intracellular inositol monophosphate and calcium concentration, consistent with activation of the Gqα signaling pathway. The insulinotropic action of TAK-875 (10 μM) in INS-1 833/15 and primary rat islets was glucose-dependent. Prolonged exposure of cytokine-sensitive INS-1 832/13 to TAK-875 for 72 h at pharmacologically active concentrations did not alter glucose-stimulated insulin secretion, insulin content, or caspase 3/7 activity, whereas prolonged exposure to palmitic or oleic acid impaired β cell function and survival. In an oral glucose tolerance test in type 2 diabetic N-STZ-1.5 rats, TAK-875 (1–10 mg/kg p.o.) showed a clear improvement in glucose tolerance and augmented insulin secretion. In addition, TAK-875 (10 mg/kg, p.o.) significantly augmented plasma insulin levels and reduced fasting hyperglycemia in male Zucker diabetic fatty rats, whereas in fasted normal Sprague-Dawley rats, TAK-875 neither enhanced insulin secretion nor caused hypoglycemia even at 30 mg/kg. TAK-875 enhances glucose-dependent insulin secretion and improves both postprandial and fasting hyperglycemia with a low risk of hypoglycemia and no evidence of β cell toxicity.
Organizational Interoperability Supported through Goal Alignment with BMM and Service Collaboration with SoaML

Organisational interoperability requires a matching of goals and provided and required services between interacting organizations. It is being shown that the recent OMG standards BMM and SoaML can be used by business people to reach this agreement, as well as serve as a foundation for describing the realization of interoperability through cross organisational business processes and further realization of IT support with semantic and technical service interoperability. We illustrate the approach with an example of service identification from the Norwegian national Health ICT architecture.
Learning Dynamical Shape Prior for Level Set based Cell Tracking

Automated cell tracking in populations is very crucial for studying dynamic cell cycle behaviors. However, a high accuracy of each step is essential to avoid error propagation. In this paper, we propose an integrated three-component system to tackle this problem. We first model the temporal dynamics of shape change using an autoregressive model, which is used for estimating the shape and the location of the current object. We then segment the cell using an active contour model starting from the predicted shape. Finally, we identify its phase using a Markov model. The phase information is also used for finetuning the segmentation result. We applied this approach for tracking HeLa H2B-GFP cells and tested it in different aspects. Highly accurate validation results confirm the usefulness of our integrating approach and show its robustness and the essentiality of each component.
A Bayesian/information theoretic model of bias learning

In this paper the problem of learning appropriate bias for an environment of related tasks is examined from a Bayesian perspective. The environment of related tasks is shown to be naturally modelled by the concept of an {\em objective} prior distribution. Sampling from the objective prior corresponds to sampling different learning tasks from the environment. It is argued that for many common machine learning problems, although we don't know the true (objective) prior for the problem, we do have some idea of a set of possible priors to which the true prior belongs. It is shown that under these circumstances a learner can use Bayesian inference to learn the true prior by sampling from the objective prior. Bounds are given on the amount of information required to learn a task when it is simultaneously learnt with several other tasks. The bounds show that if the learner has little knowledge of the true prior, and the dimensionality of the true prior is small, then sampling multiple tasks is highly advantageous.
Large Varying Light Velocity as a Solution to the Problems in Cosmology

In earlier published work, it was proposed that light speed was larger in the early universe by 30 orders of magnitude compared to its presently observed value. This change in the speed of light is associated with a spontaneous breaking of local Lorentz invariance in the early Universe, associated with a first order phase transition at a critical time $t=t_c$. This solves the horizon problem, leads to a mechanism of monopole suppression in cosmology and can resolve the flatness problem. it also offers the potential of solving the cosmological constant problem. After the critical time $t_c$, local Lorentz invariance is restored and light travels at its presently measured speed. We investigate the field equations in the spontaneously broken phase and study further the flatness problem and the cosmological constant problem. The entropy is shown to undergo a large increase as the light velocity goes through a phase transition. A scale invariant prediction for microwave background fluctuations originating at the time of the phase transition is discussed.
Distributed Rate and Power Control in Vehicular Networks

The focus of this paper is on the rate and power control algorithms in Dedicated Short Range Communication (DSRC) for vehicular networks. We first propose a utility maximization framework by leveraging the well-developed network congestion control, and formulate two subproblems, one on rate control with fixed transmit powers and the other on power control with fixed rates. Distributed rate control and power control algorithms are developed to solve these two subproblems, respectively, and are proved to be asymptotically optimal. Joint rate and power control can be done by using the two algorithms in an alternating fashion. The performance enhancement of our algorithms compared with a recent rate control algorithm, called EMBARC, is evaluated by using the network simulator ns2.
The wrath of the academics: criticisms, applications, and extensions of the supernatural punishment hypothesis

If you thought it was a tough life for religious believers living beneath the constant gaze of an omniscient and omnipresent God, spare a thought for the life of an academic. We spend years painstakingly putting together pieces of work that advance a niche field in tiny incremental steps, only to expose ourselves to the intense scrutiny of eagle-eyed peers whose job it is to pick through everything we say with a fine-tooth comb, ready to strike us down on any and all points. It was thus with some trepidation that I read through the eight commentaries on God is Watching You, fearful of thunderbolts that might strike it down. Of course, along with fear there is always awe. It is a great honor when anyone reads one’s work, and a much greater one when they sit down to carefully critique it. In an age when we are bombarded from dawn to dusk with a blizzard of news, social media, blogs, journals, and new books, it is a joy to reach anyone and a pleasure to provoke a response. I am therefore extremely grateful to all of the authors for their commentaries. They are remarkable for their diversity and brilliant ideas. Happily, there were no thunderbolts, and instead we are lucky to find a series of thoughtful criticisms, applications, and extensions of the supernatural punishment hypothesis (hereafter “SPH”; and supernatural punishment, “SP”). I am greatly reassured by the fact that the core idea of the book – that beliefs in supernatural punishment deter selfishness and promote cooperation – seems to be a successful meme. While complexities remain, the empirical evidence is building and the idea is sticking. For now, the academic gods have made for fairly calm waters, but clearly there is an expanse of ocean surrounding the supernatural punishment hypothesis that needs exploration, mapping, and in particular an account of how and why it varies from one place to the next. I hope the commentaries and this response will be the beginning of that journey rather than its end.
Trefoil Factor-3 (TFF3) Stimulates De Novo Angiogenesis in Mammary Carcinoma both Directly and Indirectly via IL-8/CXCR2

Mammary carcinoma cells produce pro-angiogenic factors to stimulate angiogenesis and tumor growth. Trefoil factor-3 (TFF3) is an oncogene secreted from mammary carcinoma cells and associated with poor prognosis. Herein, we demonstrate that TFF3 produced in mammary carcinoma cells functions as a promoter of tumor angiogenesis. Forced expression of TFF3 in mammary carcinoma cells promoted proliferation, survival, invasion and in vitro tubule formation of human umbilical vein endothelial cells (HUVEC). MCF7-TFF3 cells with forced expression of TFF3 generated tumors with enhanced microvessel density as compared to tumors formed by vector control cells. Depletion of TFF3 in mammary carcinoma cells by siRNA concordantly decreased the angiogenic behavior of HUVEC. Forced expression of TFF3 in mammary carcinoma cells stimulated IL-8 transcription and subsequently enhanced IL-8 expression in both mammary carcinoma cells and HUVEC. Depletion of IL-8 in mammary carcinoma cells with forced expression of TFF3, or antibody inhibition of IL-8, partially abrogated mammary carcinoma cell TFF3-stimulated HUVEC angiogenic behavior in vitro, as did inhibition of the IL-8 receptor, CXCR2. Depletion of STAT3 by siRNA in MCF-7 cells with forced expression of TFF3 partially diminished the angiogenic capability of TFF3 on stimulation of cellular processes of HUVEC. Exogenous recombinant hTFF3 also directly promoted the angiogenic behavior of HUVEC. Hence, TFF3 is a potent angiogenic factor and functions as a promoter of de novo angiogenesis in mammary carcinoma, which may co-coordinate with the growth promoting and metastatic actions of TFF3 in mammary carcinoma to enhance tumor progression.
Chapter III The Agent-Oriented Methodology MAS-CommonKADS

This chapter introduces the main concepts of the methodology MASCommonKADS that extends object-oriented and knowledge engineering techniques for the conceptualisation of multi-agent systems. MASCommonKADS defines a set of models (Agent Model, Task Model, Expertise Model, Coordination Model, Communication Model, Organisation Model, and Design Model) that together provide a model of the problem to be solved. Each of the components of the model is a generic component for the sake of reusability. Readers familiar with object-oriented analysis will find it easy to apply most of the techniques of MAS-CommonKADS in the development of multi-agent systems and will be introduced to the application of knowledge engineering techniques for specifying the knowledge of the agents.
Reconstruction and Error Correction of RSA Secret Parameters from the MSB Side

This paper discusses the factorization of the RSA modulus when some ‘partial information’ about the bits of the RSA secret parameters are known. Heninger and Shacham (Crypto 2009) considered the reconstruction of RSA secret parameters from a few randomly known bits, and Henecka, May and Meurer (Crypto 2010) studied the reconstruction of secret parameters when all the bits are known with some probability of error. Both the approaches attempted reconstruction from the least signiﬁcant side of the parameters. In this paper we provide two new techniques for reconstruction and error correction that work from the most signiﬁcant side of the parameters. Our idea uses adaptive ﬁl-tering using a ‘sliding window’ technique. We provide theoretical as well as experimental results that are competitive with the existing works.
Gel'fand triples and boundaries of innite networks

We study the boundary theory of a connected weighted graph G from the viewpoint of stochastic integration. For the Hilbert space HE of Dirichlet-nite functions on G, we construct a Gel'fand triple S H E S 0 . This yields a probability measure P on S 0 and an isometric embedding of HE into L 2 (S 0 ;P), and hence gives a concrete representation of the boundary as a certain class of \distributions" inS 0 . In a previous paper, we proved a discrete Gauss{Green identity for in- nite networks which produces a boundary representation for harmonic functions of nite energy, given as a certain limit. In this paper, we use techniques from stochastic integration to make the boundary bdG pre- cise as a measure space, and obtain a boundary integral representation as an integral over S 0 .
Deep mutational scanning of an antibody against epidermal growth factor receptor using mammalian cell display and massively parallel pyrosequencing

We developed a method for deep mutational scanning of antibody complementarity-determining regions (CDRs) that can determine in parallel the effect of every possible single amino acid CDR substitution on antigen binding. The method uses libraries of full length IgGs containing more than 1000 CDR point mutations displayed on mammalian cells, sorted by flow cytometry into subpopulations based on antigen affinity and analyzed by massively parallel pyrosequencing. Higher, lower and neutral affinity mutations are identified by their enrichment or depletion in the FACS subpopulations. We applied this method to a humanized version of the anti-epidermal growth factor receptor antibody cetuximab, generated a near comprehensive data set for 1060 point mutations that recapitulates previously determined structural and mutational data for these CDRs and identified 67 point mutations that increase affinity. The large-scale, comprehensive sequence-function data sets generated by this method should have broad utility for engineering properties such as antibody affinity and specificity and may advance theoretical understanding of antibody-antigen recognition.
Security preferences specification and implementation in a service-based workflow

The development of web 2.0 increases the call for agile and simple Business process support. SOA (Service oriented Architecture) provides companies with a new model to build their IT applications around their business processes and combine them dynamically and flexibly with the services of partner companies. In this open and distributed context, it is required to implement an appropriate security at each service. So, during the composition of service, it will be good for user to specify the security preference to associate to each service. In this article we describe in a first step, the difficulty of using analytical risk methods such as EBIOS, Mehari and OCTAVE to specify the constraints of security to associate with services. Then we present the SOA and its security component, therefore start the service bus ESB will act as an intermediary between the client and service provider. In a second step, we develop our method that can lead to the specification of security and describe how it would be possible to specify these security constraints during the service composition.
Cross‐Language Differences in Acquisition

Key: Yellow highlighting indicates a note to the copy editor. Pour l'étude du langage enfantin en général, une observation brute, même très complète, a encore un inconvénient. Elle ne suffit pas à distinguer clairement les particularités de l'enfant observé. L'individualité, chez l'adulte, n'affecte pas le système linguistique, qui est imposé socialiement ; elle se réfugie dans l'équilibre particulier des ressource du lexique, la manière d'utiliser les possibilités de la phrase, le débit, la mimique, rarement dans certain détails de l'articulation ; elle se marque surtout au choix des choses dites. Chez l'enfant non encore adapté au langage normal, tout contient une part d'individuel, depuis l'articulation de chaque son du langage jusqu'au sens donné aux mots. Un fait observé chez l'enfant n'est bien utilisable pour le linguiste d'une part, le psychologue de l'autre, que si la part originale de l'individu peut y être délimitée, ce qui ne se réalise bien que par des comparaisons nombreuses. Ceci fait désirer, malgré toutes les difficultés, que les observations sur les enfants se multiplient en toutes langues, et doit encourager les linguists et les amateurs de linguistique à observer les enfants – particulier leurs enfants – même lorsqu'ils ne peuvent pas le faire complètement. (Cohen 1925: 111) [For studying child language in general, a single set of raw observations, no matter how thorough, still has a drawback. It is not sufficient for clearly distinguishing the idiosyncracies of the child observed. Individuality, in an adult, does not affect the linguistic system, which is imposed socially; it retreats to the particular balance among lexical resources, the way in which one uses possible sentences, rate, gesture, and rarely in certain details of articulation; it is marked above all in the choice of what is said. In the child not yet adapted to language norms, everything contains an element of individuality, from the articulation of each sound of the language to the meaning assigned to words. A fact observed in a child can only be used by the linguist on the one hand or by the psychologist on the other, if the part that is unique to the individual can be delimited, which is something that can be accomplished only by making many comparisons. This makes it desirable, despite the difficulties, for observations of children to be multiplied in all languages, and it should encourage linguists and amateur linguists to observe children – particularly their own children – even …
Performance Analysis of Cell Broadband Engine for High Memory Bandwidth Applications

The cell broadband engine (CBE) is designed to be a general purpose platform exposing an enormous arithmetic performance due to its eight SIMD-only synergistic processor elements (SPEs), capable of achieving 134.4 GFLOPS (16.8 GFLOPS * 8) at 2.1 GHz, and a 64-bit power processor element (PPE). Each SPE has a 256Kb non-coherent local memory, and communicates to other SPEs and main memory through its DMA controller. CBE main memory is connected to all the CBE processor elements (PPE and SPEs) through the element interconnect bus (EIB), which has a 134.4 GB/s bandwidth performance peak at half the processor speed. Therefore, CBE platform is suitable to be used by applications using MPI and streaming programming models with a potential high performance peak. In this paper we focus on the communication part of those applications, and measure the actual memory bandwidth that each of the CBE processor components can sustain. We have measured the sustained bandwidth between PPE and memory, SPE and memory, two individual SPEs to determine if this bandwidth depends on their physical location, pairs of SPEs to achieve maximum bandwidth in nearly-ideal conditions, and in a cycle of SPEs representing a streaming kind of computation. Our results on a real machine show that following some strict programming rules, individual SPE to SPE communication almost achieves the peak bandwidth when using the DMA controllers to transfer memory chunks of at least 1024 Bytes. In addition, SPE to memory bandwidth should be considered in streaming programming. For instance, implementing two data streams using 4 SPEs each can be more efficient than having a single data stream using the 8 SPEs
Harnessing parallelism in FPGAs using the hume language

We propose to use Hume, a general purpose, functionally inspired, programming language, initially oriented to resource-aware embedded applications, to implement fine-grain parallel applications on FPGAs. We show that the Hume description of programs as a set of asynchronous boxes connected by wires has a very natural interpretation in terms of register-transfer level hardware description, hence leading to efficient implementations on FPGAs. The paper describes the basic compilation process from a subset of Hume to synthetisable RTL VHDL and show preliminary experimental results obtained with a very simple perceptron application.