Miracle-dz/UniFAR-FTUs huggingface dataset:
COMPREENDER O AGIR ORGANIZACIONAL PARA A CONSTRUÇÃO DE CAPACIDADES DINÂMICAS: UMA ANÁLISE EXPLORATÓRIA Understand the Organizational Act for Building Dynamic Capabilities: an exploratory analysis

In this study, bibliographical, are inter-relate the characteristics of a phenomenon – dynamic capabilities – another phenomenon – social action organization. The objective was to construct an interpretive model of the cyclical process of construction of dynamic capabilities by social agents in their organizational act. From the theoretical discussion held, we argue that the processes of actions and decisions made by managers in their organizational act, emerge from the ethical and rational factor, because they are elementary to construct a cyclical process of dynamic capabilities. Considering this argument, we question the prerogative of the organizations that are dependent on fixed resources to cope with changes in the environment. Therefore, we articulated the view that the use of dynamic capabilities internalize in the practices of people means to improve organizational learning arising from decisionmaking processes. Finally, we contribute systematizing an interpretative model of the cyclical process of construction of dynamic capabilities by social agents in their organizational act.
Notice of RetractionThe strategy of marketing capability elevation: Based on the perspective of knowledge management

Through the integration of the existing theories of marketing capability, this paper discusses the elevating strategy of marketing capability based on the perspective of knowledge management. This paper argues that a company should establish its effective mechanism to gain and create knowledge, build its well platform which is beneficial to knowledge dissemination, promote the knowledge share within itself and increase its responding capability to knowledge.
SLEPc: A scalable and flexible toolkit for the solution of eigenvalue problems

The Scalable Library for Eigenvalue Problem Computations (SLEPc) is a software library for computing a few eigenvalues and associated eigenvectors of a large sparse matrix or matrix pencil. It has been developed on top of PETSc and enforces the same programming paradigm.The emphasis of the software is on methods and techniques appropriate for problems in which the associated matrices are sparse, for example, those arising after the discretization of partial differential equations. Therefore, most of the methods offered by the library are projection methods such as Arnoldi or Lanczos, or other methods with similar properties. SLEPc provides basic methods as well as more sophisticated algorithms. It also provides built-in support for spectral transformations such as the shift-and-invert technique. SLEPc is a general library in the sense that it covers standard and generalized eigenvalue problems, both Hermitian and non-Hermitian, with either real or complex arithmetic.SLEPc can be easily applied to real world problems. To illustrate this, several case studies arising from real applications are presented and solved with SLEPc with little programming effort. The addressed problems include a matrix-free standard problem, a complex generalized problem, and a singular value decomposition. The implemented codes exhibit good properties regarding flexibility as well as parallel performance.
High Voltage Interfaces for CMOS/DMOS Technologies

This paper adapts low voltage integrated circuit (IC) design techniques to create integrated high voltage interfaces. Effective methods to implement high voltage interfaces to integrated CMOS/DMOS circuits are presented. They can be used in high voltage telecom, automotive and MEMS applications. Test results of an implemented IC show that it generates 0/100V transitions on outputs from 0/5V transitions on inputs. Test results confirm that this interface can perform a 5V/100V translation in 200 ns while driving a 32pF capacitive load.
Managing mobility and adaptation in upcoming 802.21 enabled devices

One emerging characteristic of electronic devices is the increasing number of connectivity interfaces (aka NICs1) towards the outside world. That obviously translates in a set of technical issues related to their management in order to provide seamless connectivity when the connections move from one interface to another. The IEEE 802.21 is a recent effort of IEEE that aims at providing a general interface for the management of NICs. In this paper we discuss how the upcoming standard may be effectively exploited in a mobile context in order to hide network heterogeneity to end users. To accomplish this task, we propose a centralized element called Mobility Manager interfacing with the 802.21 sublayer and responsible for the application of connectivity policies. Based on a real testbed, we showed that the new standard and the MM can be used to improve network performance experienced by the end user. Moreover we showed how the MM can interact with adaptive applications in order to improve further the range of usability of real-time applications.
Computation of localized post buckling in long axially compressed cylindrical shells

Buckling is investigated of a long thin cylindrical shell under longitudinal compression as modelled by the von Kármán–Donnell equations. Evidence is reviewed for the buckling being localized to some portion of the axial length. In accordance with this observed behaviour the equations are first approximated circumferentially by a Galerkin procedure, whereupon cross–symmetric homoclinic solutions of the resulting system of ordinary differential equations are sought in the axial direction. Results are compared with experimental and other numerical data. Excellent agreement with experiments is achieved with fewer approximating modes than other methods.
A survey on secret key generation mechanisms on the physical layer in wireless networks

Traditional security mechanisms are mainly based on the distribution of shared secret keys. Yet, this task is nontrivial in large wireless networks, because of mobility and scalability issues. Recently, it has been found that some properties of the physical layer of wireless communications can be leveraged for the purpose of secret key generation. In particular, the wireless channel has been investigated as a common source of secrecy to generate a shared secret key. We explore the most recent approaches in this area. Received signal strength indicator based key generation is firstly investigated. After that, we present some of the most recent approaches of key generation based on the channel impulse response. Moreover, we discuss some other physical layer methods. Thus, this paper provides a survey on the latest key generation mechanisms on the physical layer of wireless communications.Copyright © 2014 John Wiley & Sons, Ltd.
An Increasing Danger of Zoonotic Orthopoxvirus Infections

On May 8, 1980, the World Health Assembly at its 33rd session solemnly declared that the world and all its peoples had won freedom from smallpox and recommended ceasing the vaccination of the population against smallpox. Currently, a larger part of the world population has no immunity not only against smallpox but also against other zoonotic orthopoxvirus infections. Recently, recorded outbreaks of orthopoxvirus diseases not only of domestic animals but also of humans have become more frequent. All this indicates a new situation in the ecology and evolution of zoonotic orthopoxviruses. Analysis of state-of-the-art data on the phylogenetic relationships, ecology, and host range of orthopoxviruses—etiological agents of smallpox (variola virus, VARV), monkeypox (MPXV), cowpox (CPXV), vaccinia (VACV), and camelpox (CMLV)—as well as the patterns of their evolution suggests that a VARV-like virus could emerge in the course of natural evolution of modern zoonotic orthopoxviruses. Thus, there is an insistent need for organization of the international control over the outbreaks of zoonotic orthopoxvirus infections in various countries to provide a rapid response and prevent them from developing into epidemics.
Influence of lateral growth on the optical properties of GaN epitaxial layers

A model based on the experimental results has been proposed in this work to interpret the lateral growth feature and its effect on the optical properties of GaN epitaxial layers. Under the high lateral growth rate, dislocation located at the grain boundaries is easy to bend into the inner parts of grains, which will deteriorate the light extraction efficiency of the film.
Scenario Based Optimization: A Framework for Statically Enabling Online Optimizations

Online optimization allows the continuous restructuring and adaptation of an executing application using live information about its execution environment. The further advancement of performance monitoring hardware presents new opportunities for online optimization techniques. While managed runtime environments lend themselves nicely to online and dynamic optimizations, such techniques remain difficult to successfully achieve at the binary level. Binary level Dynamic optimizers introduce virtual layers which at the binary level produces overhead that is often prohibitive. Another challenge comes from the lack of source level information that can significantly aid optimization.In this paper we present a new static/dynamic collaborative approach to online optimization that takes advantage of the strength of static optimization and the adaptive nature of dynamic optimization techniques. We call this hybrid optimization framework Scenario Based Optimization (SBO). Statically we multiversion and specialize functions for different dynamic scenarios that can be identified by monitoring micro-architectural events. Using these events to infer the current scenario, we dynamically reroute execution to the relevant code tuned to that scenario. We have implemented our static SBO infrastructure in GCC 4.3. 1 and designed our Dynamic Introspection Engine using the Perfmon2 infrastructure. To demonstrate the effectiveness of our Scenario Based Optimization framework we have designed an SBO optimization we call the Online Aiding and Abetting of Aggressive Optimizations (OAAAO). Using SPEC2006 this optimization shows a speedup of 7% to 10% for a number of benchmarks and in our best case (h264ref) a 17% speedup over native execution compiled at the -O2 optimization level.
Designing a Server Array System for Multimedia World-Wide-Web Services

In [1] we reported the design and implementation of a video-on-demand (VOD) system using a server array architecture. In this paper, we extend the work into a full multimedia server array system for world-wide-web services. The system allows stream-type services such as video and audio guaranteed continuous service irrespective of the background data traffic. The server array approach has the benefits of (1) more system capacity, as individual server has individual CPU, disk, and network channels, (2) scalable, as the system capacity increases with the number of servers without the need for data duplication, and (3) fault tolerant, as server-level fault-tolerant schemes can be devised for sustaining service even if a server fails. We describe the design and implementation of our WebArray system a server array software system developed for multimedia world-wide-web services. Our implementation employs integrated scheduling at the disk and network subsystems to ensure the continuous delivery of video and audio.
OFDiff : A Debugging Tool for OpenFlow based Data Center

Debugging operational data centers can be very hard due to their large scale, distributed states, and the substantial dynamism present in application characteristics. Currently, there is no such tool to aid data center operators to detect and debug changes in data center behavior across time. To achieve this, we propose OFDiff an offline data center debugging tool. We develop techniques to model the data center environment into application and infrastructure signatures based on data center traffic flow. We also construct signatures for common data center operations (e.g., migration, creating new virtual instances and software upgrades) and validate successful completion of such operations. We compare these models across time to detect changes in applications and infrastructure itself. These changes are categorized into known (attributed to operator tasks) and unknown changes. Data center changes detected by OFDiff, which cannot be attributed to well known operational tasks are further analyzed to output troubleshooting information. Our implementation is in an OpenFlow environment which inherently simplifies monitoring of flows in the data center. We believe such a tool can be very useful both in deployment and production phases.
MAG and OMgp Synergize with Nogo-A to Restrict Axonal Growth and Neurological Recovery after Spinal Cord Trauma

Functional recovery after adult CNS damage is limited in part by myelin inhibitors of axonal regrowth. Three molecules, Nogo-A, MAG, and OMgp, are produced by oligodendrocytes and share neuronal receptor mechanisms through NgR1 and PirB. While each has an axon-inhibitory role in vitro, their in vivo interactions and relative potencies have not been defined. Here, we compared mice singly, doubly, or triply mutant for these three myelin inhibitor proteins. The myelin extracted from Nogo-A mutant mice is less inhibitory for axons than is that from wild-type mice, but myelin lacking MAG and OMgp is indistinguishable from control. However, myelin lacking all three inhibitors is less inhibitory than Nogo-A-deficient myelin, uncovering a redundant and synergistic role for all three proteins in axonal growth inhibition. Spinal cord injury studies revealed an identical in vivo hierarchy of these three myelin proteins. Loss of Nogo-A allows corticospinal and raphespinal axon growth above and below the injury, as well as greater behavioral recovery than in wild-type or heterozygous mutant mice. In contrast, deletion of MAG and OMgp stimulates neither axonal growth nor enhanced locomotion. The triple-mutant mice exhibit greater axonal growth and improved locomotion, consistent with a principal role for Nogo-A and synergistic actions for MAG and OMgp, presumably through shared receptors. These data support the hypothesis that targeting all three myelin ligands, as with NgR1 decoy receptor, provides the optimal chance for overcoming myelin inhibition and improving neurological function.
Network coding based Energy Efficient Multicast Routing for wireless sensor network

This paper proposes a novel multicast routing for wireless sensor network, named Network Coding based Energy Efficient Multicast Routing (NEMR), which exploits intra-flow network coding within multicast session to improve the multicast reliability, and inter-flow network coding among multicast sessions to reduce the number of transmissions. Besides, network coding based retransmission mechanism and zero space based feedback mechanism are also presented. Extensive simulations on NS2 demonstrate that NEMR outperforms existing schemes in network lifetime and transmission efficiency, especially in case of heavy load.
Blind Signature Implementation using Pseudo Public Key

Cryptanalysts may use any available information to break a secure information system. Hence, this work suggests a public key scheme that hides the public key from receivers presenting a method for public key hiding. A pseudo key will be used in the encryption process instead of the public key. This scheme guarantees reducing the risk of compromising both cryptographic algorithms and public-private key pair. Furthermore, this pseudo public key is generated independent of the sender, i
Novel Single Input Five Output Voltage Mode Universal Filter Based on DDCCTA

A novel single input five output voltage mode universal filter based on differential difference current conveyor transconductance amplifier (DDCCTA) is presented. It employs grounded passive components namely two capacitors and a resistor. The proposed filter offers the following advantageous features: high input impedance-a desirable property of voltage mode filters; simultaneous availability of low pass, band pass, high pass, notch, and all pass; no matching constraint; low sensitivity performance and use of grounded capacitors suitable for integration. The effect of DDCCTA non-idealities on filter behaviour has also been addressed. The functionality of the design is verified through SPICE simulations using 0.25 μm TSMC CMOS technology.
P_4-Colorings and P_4-Bipartite Graphs

A vertex partition of a graph into disjoint subsets V_is is said to be a P_4-free coloring if each color class V_i induces a subgraph without chordless path on four vertices (denoted by P_4). Examples of P_4-free 2-colorable graphs (also called P_4-bipartite graphs) include parity graphs and graphs with ''few'' P_4s like P_4-reducible and P_4-sparse graphs. We prove that, given k≥ 2, \emphP_4-Free k-Colorability is NP-complete even for comparability graphs, and for P_5-free graphs. We then discuss the recognition, perfection and the Strong Perfect Graph Conjecture (SPGC) for P_4-bipartite graphs with special P_4-structure. In particular, we show that the SPGC is true for P_4-bipartite graphs with one P_3-free color class meeting every P_4 at a midpoint.
IN-FLIGHT IDENTIFICATION OF THE AUGMENTED FLIGHT DYNAMICS OF THE RMAX UNMANNED HELICOPTER

The flight dynamics of the Yamaha RMAX unmanned helicopter has been investigated, and mapped into a six degrees of freedom mathematical model. The model has been obtained by a combined black-box system identification technique and a classic model-based parameter identification approach. In particular, the closed-loop behaviour of the built-in attitude control system has been studied, to support the decision whether to keep it as inner stabilization loop or to develop an own stability augmentation system. The flight test method and the test instrumentation are described in detail; some samples of the flight test data are compared to the model outputs as validation, and an overall assessment of the built-in stabilization system is supplied.
Matching patients to an intervention for back pain: classifying patients using a latent class approach

Rationale, aims and objectives Classification of patients with back pain in order to inform treatments is a long-standing aim in medicine. We used latent class analysis (LCA) to classify patients with low back pain and investigate whether different classes responded differently to a cognitive behavioural intervention. The objective was to provide additional guidance on the use of cognitive behavioural therapy to both patients and clinicians. Method We used data from 407 participants from the full study population of 701 with complete data at baseline for the variables the intervention was designed to affect and complete data at 12 months for important outcomes. Patients were classified using LCA, and a link between class membership and outcome was investigated. For comparison, the latent class partition was compared with a commonly used classification system called Subgroups for Targeted Treatment (STarT). Results Of the relatively parsimonious models tested for association between class membership and outcome, an association was only found with one model which had three classes. For the trial participants who received the intervention, there was an association between class membership and outcome, but not for those who did not receive the intervention. However, we were unable to detect an effect on outcome from interaction between class membership and the intervention. The results from the comparative classification system were similar. Conclusion We were able to classify the trial participants based on psychosocial baseline scores relevant to the intervention. An association between class membership and outcome was identified for those people receiving the intervention, but not those in the control group. However, we were not able to identify outcome associations for individual classes and so predict outcome in order to aid clinical decision making. For this cohort of patients, the STarT system was as successful, but not superior.
Integrating Social Psychology and Aging Research: Toward a Social-Developmental Theory of Behavior

We consider 2 questions in this commentary. One is the extent to which the understanding of aging can be advanced by the application of social psychological theories. The second is the extent to which social-psychological theories can be enriched by considering issues in aging. We argue that the focus on situational causes of behavior in social psychological theories provides a vital balance to accounts of aging that have emphasized internal causes, and that the social psychological focus on process provides an important addition to more descriptive emphases. We also argue that applying social-psychological theories to issues in aging will strengthen their predictive power by necessitating greater attention to descriptive content as well as by revealing new moderator variables and domains of inquiry. Finally, we offer several methodological suggestions for future research. Ultimately, integrating social psychology and aging research will build social-developmental theories that are more powerful than either social or developmental theories alone.
A structure-preserved nonlocal iterative regularization model for image denoising

Non-local Means(NLM) is increasingly popular in image denoising. In this paper, the nonlocal structure similarity of images obtained by the iteration is exploited. By combining the nonlocal similarity constraints with total variation regularization, an iterative regularized variational model is proposed, in which the nonlocal weight depends on local structure of patches. An effective algorithm is also presented to solve the optimization problem based on split Bregman iteration. Experimental results reveal that the proposed method is competitive with the state-of-art denoising algorithms, especially for images with strong noise.
The Disruptive Nature of Information Technology Innovations: The Case of Internet Computing in Systems Development Organizations

Information technology (IT) innovation can be defined as the creation and new organizational application of digital computer and communication technologies. The paper suggests that IT innovation theory needs to be expanded to analyze IT innovations in kind that exhibit atypical discontinuities in IT innovation behaviors by studying two questions. First, can a model of disruptive IT innovations be created to understand qualitative changes in IT development processes and their outcomes so that they can be related to architectural discontinuities in computing capability? Second, to what extent can the observed turmoil among systems development organizations that has been spawned by Internet computing be understood as a disruptive IT innovation? To address the first question, a model of disruptive IT innovation is developed. The model defines a disruptive IT innovation as an architectural innovation originating in the information technology base that has subsequent pervasive and radical impacts on development processes and their outcomes. These base innovations establish necessary but not sufficient conditions for subsequent innovation behaviors. To address the second question, the impact of Internet computing on eight leading-edge systems development organizations in the United States and Finland is investigated. The study shows that the adoption of Internet computing in these firms has radically impacted their IT innovation both in development processes and services.