Miracle-dz/UniFAR-FTUs huggingface dataset:
Cultura organizacional: conceptualizaciones y metodologías detrás de un concepto complejo

El abordaje de la dimensión cultural de las empresas es una temática recurrente, pero no por ello menos controvertida y compleja. Ya sea en su conceptualización, operacionalización y/o utilización desde la gestión empresarial,la cultura organizacional presenta heterogéneos tratamientos teóricos y empíricos que dificultan la construcción de un consenso entre los investigadores.Considerando a la empresa como un lugar de creación simbólica e identitaria, dadora de significados y sentidos a la acciónde sus miembros, el presente artículo tiene por objetivo revisar críticamente los principales abordajes teórico-metodológicos que, desde los Estudios de la Organización y del Trabajo, tuvo la cultura organizacional. Asimismo se propone identificar las principales tensiones y consensos presentes entorno al concepto y ponderar su utilidad heurística.
Caching in Content-Based Publish/Subscribe Systems

In a publish/subscribe network, message delivery is guaranteed for all active subscribers at publish time. However, in a dynamic scenario where users join and leave the network, a user may be interested in content published before the subscription time. In this paper, we introduce mechanisms that enable caching in such networks, while maintaining the main principle of loose-coupled and asynchronous communication. Furthermore we investigate two caching policies; caching in all candidate brokers (basic caching) which yields high survivability and low delay and caching in leaf brokers (leaf caching) which maintains low overhead and querying complexity. The comparison is performed via simulations and testbed measurements and insights are given for future work.
Functional mapping of cytotactin: proteolytic fragments active in cell- substrate adhesion

Cytotactin is an extracellular matrix glycoprotein with a restricted distribution during development. In electron microscopic images, it appears as a hexabrachion with six arms extending from a central core. Cytotactin binds to other extracellular matrix proteins including a chondroitin sulfate proteoglycan (CTB proteoglycan) and fibronectin. Although cytotactin binds to a variety of cells including fibroblasts and neurons, in some cases it causes cells in culture to round up and it inhibits their migration. To relate these various effects of cytotactin on cell behavior to its binding regions, we have examined its ability to support cell-substrate adhesion and have mapped its cell- binding function onto its structure. In a cell-substrate adhesion assay, fibroblasts bound to cytotactin but remained round. In contrast, they both attached and spread on fibronectin. Neither neurons nor glia bound to cytotactin in this assay. In an assay in which cell-substrate contact was initiated by centrifugation, however, neurons and glia bound well to cytotactin; this binding was blocked by specific anti- cytotactin antibodies. The results suggest that neurons and glia can bind to cytotactin-coated substrates and that these cells, like fibroblasts, possess cell surface ligands for cytotactin. After applying methods of limited proteolysis and fractionation, these assays were used to map the binding functions of cytotactin onto its structure. Fragments produced by limited proteolysis were fractionated into two major pools: one (fraction I) contained disulfide-linked oligomers of a 100-kD fragment and two minor related fragments, and the second (fraction II) contained monomeric 90- and 65-kD fragments. The 90- and 65-kD fragments in fraction II were closely related to each other and were structurally and immunologically distinct from the fragments in fraction I. Only components in fraction I were recognized by mAb M1, which binds to an epitope located in the proximal portion of the arms of the hexabrachion and by a polyclonal antibody prepared against a 75-kD CNBr fragment of intact cytotactin. A mAb (1D8) and a polyclonal antibody prepared against a 35-kD CNBr fragment of cytotactin only recognized components present in fraction II. In cell- binding experiments, fibroblasts, neurons, and glia each adhered to substrates coated with fraction II, but did not adhere to substrates coated with fraction I. Fab fragments of the antibody to the 35-kD CNBr fragment strongly inhibited the binding of cells to cytotactin, supporting the conclusion that fraction II contains a cell-binding region. In addition, Fab fragments of this antibody inhibited the binding of cytotactin to CTB pr
Glycan shielding of the influenza virus hemagglutinin contributes to immunopathology in mice.

RATIONALE Pandemic influenza viruses historically have had few potential sites for N-linked glycosylation on the globular head of the hemagglutinin (HA) on emergence from the avian reservoir. Gain of glycans within antigenic sites of the HA during adaptation to the mammalian lung facilitates immune evasion. OBJECTIVES In this study, we sought to determine in mice how exposure to highly glycosylated viruses affects immunity to poorly glycosylated variants to model the emergence of a novel pandemic strain of a circulating subtype. METHODS We engineered the 1968 H3N2 pandemic strain to express an additional two or four potential sites for glycosylation on the globular head of the HA. Mice were infected sequentially with highly glycosylated variants followed by poorly glycosylated variants and monitored for immune responses and disease. MEASUREMENTS AND MAIN RESULTS The mutant with four additional glycosylation sites (+4 virus) elicited significantly lower antibody responses than the wild-type or +2 virus and was unable to elicit neutralizing antibodies. Mice infected with the +4 virus and then challenged with wild-type virus were not protected from infection and experienced significant T-cell-mediated immunopathology. Infection with a recent seasonal H1N1 virus followed by infection with the 2009 pandemic H1N1 elicited similar responses. CONCLUSIONS These data suggest that sequential infection with viral strains with different surface glycosylation can prime the host for immunopathology if a neutralizing antibody response matching the T-cell response is not present. This mechanism may have contributed to severe disease in young adults infected with the 2009 pandemic virus.
Towards Optimal Algorithms for Prediction with Expert Advice

We study the classical problem of prediction with expert advice in the adversarial setting with a geometric stopping time. In 1965, Cover gave the optimal algorithm for the case of 2 experts. In this paper, we design the optimal algorithm, adversary and regret for the case of 3 experts. Further, we show that the optimal algorithm for $2$ and $3$ experts is a probability matching algorithm (analogous to Thompson sampling) against a particular randomized adversary. Remarkably, our proof shows that the probability matching algorithm is not only optimal against this particular randomized adversary, but also minimax optimal. Our analysis develops upper and lower bounds simultaneously, analogous to the primal-dual method. Our analysis of the optimal adversary goes through delicate asymptotics of the random walk of a particle between multiple walls. We use the connection we develop to random walks to derive an improved algorithm and regret bound for the case of $4$ experts, and, provide a general framework for designing the optimal algorithm and adversary for an arbitrary number of experts.
MRI Measurements of Water Diffusion and Cerebral Perfusion: Their Relationship in a Rat Model of Focal Cerebral Ischemia

The aim of this study was to examine the quantitative relationship between changes in apparent diffusion coefficient (ADC) and transverse relaxivity (ΔR*2) measurements of relative perfusion deficits within the gradients of a focal ischemic insult. Sixty minutes after permanent occlusion of the middle cerebral artery, rats (n = 7) were subjected to spin echo diffusion-weighted scans followed by fast low-angle shot (FLASH) perfusion-sensitive scans. Diffusion-weighted images showed clear ischemic lesions in the affected basal ganglia and cortex. Ischemic deficits were demonstrated as a decrease in first-pass transit of injected boluses of gadodiamide. ADC maps were generated and regions of interest (ROIs) were obtained to span the range of ADC reductions from the lesion center or core to the periphery or penumbra. Corresponding ROIs from the bolus injection images were used to calculate perfusion indexes relative to contralateral levels as ratios of ΔR*2 integrals and ratios of ΔR*2 peak values. In all animals, the degree of ADC reductions was related to the degree of ΔR*2 perfusion deficits, ranging from severe ischemia in the core of the lesion to intermediate and moderate changes toward the lesion periphery. In the ischemic periphery, ADC reductions were linearly correlated with ΔR*2 peak ratios. However, no significant correlation was found between ADC reductions and ΔR*2 integral ratios. These data suggest that magnetic resonance measurements of ADC and ΔR*2 peak ratios can be used to quantitatively assess the variable gradients in focal ischemia, including potentiallyn critical areas at risk in the ischemic periphery.
Transfusion-related acute lung injury in the critically ill: prospective nested case-control study.

RATIONALE Acute lung injury (ALI) that develops 6 hours after transfusion (TRALI) is the leading cause of transfusion-related mortality. Several transfusion characteristics have been postulated as risk factors for TRALI, but the evidence is limited to retrospective studies. OBJECTIVES To compare patient and transfusion risk factors between patients who do and do not develop ALI. METHODS In this prospective cohort study, consecutive transfused critically ill patients were closely observed for development of ALI. Donor samples were collected from the transfusion bags. Risk factors were compared between patients who developed ALI after transfusion and transfused control patients, matched by age, sex, and admission diagnosis. MEASUREMENTS AND MAIN RESULTS Seventy-four of 901 transfused patients developed ALI within 6 hours of transfusion (8%). Compared with transfused control subjects, patients with ALI were more likely to have sepsis (37 vs. 22%, P = 0.016) and a history of chronic alcohol abuse (37 vs. 18%, P = 0.006). When adjusted for patient characteristics, transfusion of plasma from female donors (odds ratio [OR], 5.09; 95% confidence interval [95% CI], 1.37-18.85) rather than male donors (OR, 1.60; 95% CI, 0.76 to 3.37), number of pregnancies among the donors (OR, 1.19; 95% CI, 1.05 to 1.34), number of donor units positive for anti-granulocyte antibodies (OR, 4.85; 95% CI, 1.32-17.86) and anti-HLA class II antibodies (OR, 3.08; 95% CI, 1.15-8.25), and concentration of lysophosphatidylcholine in the donor product (OR, 1.69; 95% CI, 1.10 to 2.59) were associated with the development of ALI. CONCLUSIONS Both patient and transfusion risk factors determine the probability of ALI after transfusion. Transfusion factors represent attractive targets for the prevention of ALI.
Revealing Hidden Community Structures and Identifying Bridges in Complex Networks: An Application to Analyzing Contents of Web Pages for Browsing

The emergence of scale free and small world properties in real world complex networks has stimulated lots of activity in the field of network analysis. An example of such a network comes from the field of Content Analysis (CA) and Text Mining where the goal is to analyze the contents of a set of web pages. The Network can be represented by the words appearing in the web pages as nodes and the edges representing a relation between two words if they appear in a document together. In this paper we present a CA system that helps users analyze these networks representing the textual contents of a set of web pages visually. Major contributions include a methodology to cluster complex networks based on duplication of nodes and identification of bridges i.e. words that might be of user interest but have a low frequency in the document corpus. We have tested this system with a number of data sets and users have found it very useful for the exploration of data. One of the case studies is presented in detail which is based on browsing a collection of web pages on Wikipedia.
Energy-Efficient Resource Allocation for OFDMA Cellular Networks With User Cooperation and QoS Provisioning

In this paper, an energy-efficient resource allocation scheme is designed for orthogonal frequency-division multiple-access cellular wireless networks with multiuser cooperation. Joint relay selection, subcarrier allocation and pairing, and power-allocation algorithms are developed with the objective of maximizing the energy efficiency of the system considering the quality-of-service requirements of the users. The optimization problem is a mixed-integer nonlinear program (MINLP), which is generally very difficult to solve in its original form. The energy efficiency metric is a fractional and nonlinear function, which complicates the problem further. We provide a novel optimization framework to solve such nonlinear and nonconvex optimization problems. The MINLP optimization problem is reformulated to a convex problem by relaxing the integer variables and by introducing the "Dinkelbach" method to tackle the nonlinear fractional objective function. We prove that our proposed solution of the relaxed problem is optimal and has integer values. Based on the dual-decomposition method, we propose a solution to the joint optimization problem, which is optimal and computationally efficient with polynomial-time complexity. Numerical results demonstrate the effectiveness of our proposed scheme.
A legal-institutional perspective on the European External Action Service

This article provides a legal perspective on the new European External Action Service (EEAS), and positions this new body in the reshuffled institutional balance of EU external relations. To that end, the paper examines the EEAS's legal nature as compared to that of Council, Commission, their support services and EU agencies, and seeks to define the EEAS's sui generis status in the EU institutional set-up. Some relevant questions are: What are the implications of its absence of legal personality, what does its "functional autonomy" from the Council and Commission imply, what are its formal powers - if any, and could the EEAS be drawn into proceedings before the Court of Justice? In answering those questions, this article then examines to what extent the legal-institutional choices on the structure of the EU External Action Service reflects the age-old tension entrenched in EU external relations law: the EU's nature as an internally diverse entity, which seeks to present a coherent Union voice to the world.
Reading Asian American Biracial Autobiographies of Childhood: Norman Reyes’ Child of Two Worlds and Kien Nguyen's The Unwanted

Biracial autobiographies of childhood evidence particular processes of hybridity and liminality through a rewriting of an established Euro-American literary genre. The manner in which Reyes’ Child of Two Worlds and Nguyen's The Unwanted engage biraciality highlights the intersection of genre and theme. Issues of indeterminacy, location, identification, and affiliation are central, as the protagonists negotiate a process of racial ambivalence that exhausts the supposed fixity and impermeability of racial boundaries. They transform biraciality into a literary strategy by their enactment of a revisionist agenda: by appropriating and subverting the prescribed model for the Childhood, they revise generic prescriptions, stress multilayered positioning, and problematize uncritical inscriptions of identification as Americans.
Conservation Patterns of HIV-1 RT Connection and RNase H Domains: Identification of New Mutations in NRTI-Treated Patients

Background Although extensive HIV drug resistance information is available for the first 400 amino acids of its reverse transcriptase, the impact of antiretroviral treatment in C-terminal domains of Pol (thumb, connection and RNase H) is poorly understood. Methods and Findings We wanted to characterize conserved regions in RT C-terminal domains among HIV-1 group M subtypes and CRF. Additionally, we wished to identify NRTI-related mutations in HIV-1 RT C-terminal domains. We sequenced 118 RNase H domains from clinical viral isolates in Brazil, and analyzed 510 thumb and connection domain and 450 RNase H domain sequences collected from public HIV sequence databases, together with their treatment status and histories. Drug-naïve and NRTI-treated datasets were compared for intra- and inter-group conservation, and differences were determined using Fisher's exact tests. One third of RT C-terminal residues were found to be conserved among group M variants. Three mutations were found exclusively in NRTI-treated isolates. Nine mutations in the connection and 6 mutations in the RNase H were associated with NRTI treatment in subtype B. Some of them lay in or close to amino acid residues which contact nucleic acid or near the RNase H active site. Several of the residues pointed out herein have been recently associated to NRTI exposure or increase drug resistance to NRTI. Conclusions This is the first comprehensive genotypic analysis of a large sequence dataset that describes NRTI-related mutations in HIV-1 RT C-terminal domains in vivo. The findings into the conservation of RT C-terminal domains may pave the way to more rational drug design initiatives targeting those regions.
Artificial Physics, Swarm Engineering, and the Hamiltonian Method

This paper describes the application of a swarm engineering methodology known as the Hamil- tonian method of swarm design to the artificial physics problem. We demonstrate how to use this methodol- ogy to create swarms of predefined global properties by applying it to the basic artificial physics problem which creates locally hexagonal grids of agents, but fails to generate global hexagons. A condition for global hexagonal structure is derived, and two meth- ods are described which accomplish this goal. Neither method requires global information.
Various MRS Application Tools for Alzheimer Disease and Mild Cognitive Impairment

SUMMARY: MR spectroscopy is a noninvasive technique that allows the detection of several naturally occurring compounds (metabolites) from well-defined regions of interest within the human brain. Alzheimer disease, a progressive neurodegenerative disorder, is the most common cause of dementia in the elderly. During the past 20 years, multiple studies have been performed on MR spectroscopy in patients with both mild cognitive impairment and Alzheimer disease. Generally, MR spectroscopy studies have found decreased N-acetylaspartate and increased myo-inositol in both patients with mild cognitive impairment and Alzheimer disease, with greater changes in Alzheimer disease than in mild cognitive impairment. This review summarizes the information content of proton brain MR spectroscopy and its related technical aspects, as well as applications of MR spectroscopy to mild cognitive impairment and Alzheimer disease. While MR spectroscopy may have some value in the differential diagnosis of dementias and assessing prognosis, more likely its role in the near future will be predominantly as a tool for monitoring disease response or progression in treatment trials. More work is needed to evaluate the role of MR spectroscopy as a biomarker in Alzheimer disease and its relationship to other imaging modalities.
Object-Oriented Design Metrics to Predict Fault Proneness of Software Applications

Object-Oriented applications strongly emphasis on design aspects during the early stages of software development to get the high quality output. Object-Oriented design metrics play an important role in software engineering to understand design aspects of the software as well as to improve quality, complexity and productivity of the software. Many object-Oriented approaches have been proposed to predict the fault proneness of software metrics. To evaluate the design aspects of an application, software developers use object-oriented attributes such as coupling, cohesion, complexity, inheritance, and size with their corresponding metrics in predicting fault proneness. The goal of of this study is to evaluate software metrics using object oriented approach that are useful for predicting fault-prone classes and to investigate their capability in combination.
Combining Physical Activities and Mobile Games to Promote Novel Learning Practices

Mobile outdoor games can be seen as fertile ground for conducting novel learning activities that involve children in different tasks including physical motion, problem solving, inquiry and collaboration; all those are activities that support different cognitive and social aspects of learning. Co-design and human centric design practices have been the focus of current research efforts in the field of educational technologies but not as prevalent in mobile games to support learning. In our current research we are exploring which design methods are appropriate for developing innovative ways of learning supported by mobile games. This paper presents all those aspects related to the design and implementation of a mobile game called Skattjakt (Treasure Hunt in Swedish). The outcome of our activities has provided us with valuable results that can help us to bridge the gap between learning in informal and formal settings. Moreover, we believe that involving children in the design process of mobile games may give us new insights regarding the nature of their learning practices while learning with games.
Development of a Fault Injection System to Test a Weather Station Based on Rapid Prototyping Platform

Fault injection has been an important mechanism to test the dependability properties of a system. Through this mechanism, it is possible to analyze the behavior of a computer program in case of anomalies and to obtain useful statistics to measure the effectiveness of techniques for fault tolerance. In areas such as telecommunications, aviation and finance, the use of fault tolerance is a common practice, although, in the development of simple embedded systems it usually does not occur. Due to this reason, there is a need to create tools for non-invasive tests that allow simulating faults without dramatically increasing the system complexity. This article presents some of the techniques often used to impose fault tolerance and describes a system developed for fault injection, which operates by inserting faults in certain memory regions to change the data and to cause crashes in a rapid prototyping platform for micro controllers. At the end of this article the results are presented.