Miracle-dz/UniFAR-FTUs huggingface dataset:
Saúde do trabalhador em educação: a gestão da saúde de professores de escolas públicas brasileiras

Resumo A saude docente tem, ao longo dos ultimos anos, chamado a atencao da academia para o sofrimento e o mal-estar decorrentes do trabalho e, para nos, para a forma como o poder publico tem atuado sobre tal realidade. O objetivo deste estudo foi compreender, por meio de uma revisao da literatura, “se” e “como” a gestao em saude do trabalhador tem proposto acoes e politicas para os docentes. O caminho metodologico foi a revisao integrativa de literatura. Foram encontradas 242 publicacoes; destas, 52 foram selecionadas para leitura na integra, contudo apenas quatro apontam assistencia por meio da gestao em Saude Publica. Perante esta realidade, levantamos tres hipoteses: os programas voltados para esta categoria estao sendo realizados, mas as experiencias nao sao divulgadas; as instituicoes de pesquisa nao tem se interessado pelo tema; ou ainda: realmente nao existem programas que trabalhem com adoecimento docente no âmbito das politicas publicas. Concluimos que sao necessarias acoes e politicas que nao silenciem a realidade, bem como novos estudos tanto do processo saude/adoecimento como da falta de gestao sobre ele.
Se p 20 05 Induced charge-density oscillations at metal surfaces

Induced charge-density (ICD) oscillations at the Cu(111) surface caused by an external impurity are studied within linear response theory. The calculation takes into account such properties of the Cu(111) surface electronic structure as an energy gap for three-dimensional (3D) bulk electrons and a s − pz surface state that forms two-dimensional (2D) electron system. It is demonstrated that the coexistence of these 2D and 3D electron systems has profound impact on the ICD in the surface region. In the case of a static impurity the characteristic ICD oscillations with the 1/ρ decay as a function of lateral distance, ρ, are established in both electron systems. For the impurity with a periodically time-varying potential, the novel dominant ICD oscillations which fall off like ∼ 1/ρ are predicted.
Association Between MKP-1, BDNF, and Gonadal Hormones with Depression on Perimenopausal Women

Abstract Background: Studies suggest that brain-derived neurotrophic factor (BDNF) exerts effects on the neuronal function of hippocampal neurons and increases hippocampal mitogen-activated protein kinase phosphatase-1 (MKP-1) expression, which causes depressive behaviors in rat or mouse. Here we focus on the change of serum MKP-1, BDNF, testosterone (T), and estradiol (E2) levels, in order to test the hypothesis that dysregulation of MKP-1, BDNF, T, and E2 are associated with depression in perimenopausal women. Methods: Women with depression, after meeting criteria in the International Statistical Classification of Diseases and Related Health Problems, 10th Revision, for mental and behaviural disorders and the 17-item Hamilton Depression Rating Scale (HDRS), were included in the study. Psychosocial data and blood samples were obtained from the subjects in the study, including 38 perimenopausal and 32 young women with depression, 26 healthy control perimenopausal women, and 34 young women. Results: Serum MKP-1 levels were higher and T was lower in the women with depression compared to controls (p<0.05), and depressed perimenopausal women exhibited the highest serum MKP-1 levels and lowest T levels. Logistic regression analyses showed that MKP-1 levels were positively correlated with HDRS scores in the women, and T levels were inversely correlated with HDRS scores in the perimenopausal women (p<0.05). Conclusions: This study suggests that high serum MKP-1 levels are associated with depression in women, and this association did not appear to be confounded by age. Further, the results provide evidence of association between depressive symptom severity and increasing serum MKP-1 levels in women, and decreasing T levels in perimenopausal women.
Degree distributions in mesoscopic and macroscopic functional brain networks

We investigated the degree distribution of brain networks extracted from functional magnetic resonance imaging of the human brain. In particular, the distributions are compared between macroscopic brain networks using region-based nodes and mesoscopic brain networks using voxel-based nodes. We found that the distribution from these networks follow the same family of distributions and represent a continuum of exponentially truncated power law distributions.
A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues

Sequential data often possesses hierarchical structures with complex dependencies between sub-sequences, such as found between the utterances in a dialogue. To model these dependencies in a generative framework, we propose a neural network-based generative architecture, with stochastic latent variables that span a variable number of time steps. We apply the proposed model to the task of dialogue response generation and compare it with other recent neural-network architectures. We evaluate the model performance through a human evaluation study. The experiments demonstrate that our model improves upon recently proposed models and that the latent variables facilitate both the generation of meaningful, long and diverse responses and maintaining dialogue state.
The Expression and Function of Cathepsin E in Dendritic Cells1

Cathepsin E is an aspartic proteinase that has been implicated in Ag processing within the class II MHC pathway. In this study, we document the presence of cathepsin E message and protein in human myeloid dendritic cells, the preeminent APCs of the immune system. Cathepsin E is found in a perinuclear compartment, which is likely to form part of the endoplasmic reticulum, and also a peripheral compartment just beneath the cell membrane, with a similar distribution to that of Texas Red-dextran within 2 min of endocytosis. To investigate the function of cathepsin E in processing, a new soluble targeted inhibitor was synthesized by linking the microbial aspartic proteinase inhibitor pepstatin to mannosylated BSA via a cleavable disulfide linker. This inhibitor was shown to block cathepsin D/E activity in cell-free assays and within dendritic cells. The inhibitor blocked the ability of dendritic cells from wild-type as well as cathepsin D-deficient mice to present intact OVA, but not an OVA-derived peptide, to cognate T cells. The data therefore support the hypothesis that cathepsin E has an important nonredundant role in the class II MHC Ag processing pathway within dendritic cells.
Mesospheric turbulence during PMWE-conducive conditions

Strong radar returns at VHF known as Polar Mesospheric Winter Echoes (PMWE) seem to occur during periods of intense ionisation of the mesosphere. Apart from a mechanism to produce such ionisation, viz. solar proton precipitation, other prerequisites have been proposed, such as neutral air turbulence. Here, we employ a medium frequency radar to examine whether the atmospheric state is conducive to the appearance of PMWE; echo power signatures (isolated lower mesospheric echoes ? "ILME") are indicators of the necessary ionisation at sufficient depth in the middle atmosphere, and also echo fading times give information on turbulence. We fail to find evidence for causal relationship between ILME and turbulence but suggest that on occasion turbulence may be enhanced related to proton precipitation. The results presented provide a basis for investigating whether turbulence is a prerequisite for PMWE.
Metalloprotease Meprinβ in Rat Kidney: Glomerular Localization and Differential Expression in Glomerulonephritis

Meprin (EC 3.4.24.18) is an oligomeric metalloendopeptidase found in microvillar membranes of kidney proximal tubular epithelial cells. Here, we present the first report on the expression of meprinβ in rat glomerular epithelial cells and suggest a potential involvement in experimental glomerular disease. We detected meprinβ in glomeruli of immunostained rat kidney sections on the protein level and by quantitative RT-PCR of laser-capture microdissected glomeruli on the mRNA level. Using immuno-gold staining we identified the membrane of podocyte foot processes as the main site of meprinβ expression. The glomerular meprinβ expression pattern was altered in anti-Thy 1.1 and passive Heymann nephritis (PHN). In addition, the meprinβ staining pattern in the latter was reminiscent of immunostaining with the sheep anti-Fx1A antiserum, commonly used in PHN induction. Using Western blot and immunoprecipitation assays we demonstrated that meprinβ is recognized by Fx1A antiserum and may therefore represent an auto-antigen in PHN. In anti-Thy 1.1 glomerulonephritis we observed a striking redistribution of meprinβ in tubular epithelial cells from the apical to the basolateral side and the cytosol. This might point to an involvement of meprinβ in this form of glomerulonephritis.
Identity and agency in South-South relations : Brazilian development workers and Mozambique

This thesis seeks to contribute to knowledge on how sameness and difference play out in personal and professional South-South relations, through an ethnography of interactions between Brazilian and Mozambican development workers, in the HIV&AIDS and gender fields, in Mozambique. The thesis is structured around nine chapters. The introduction outlines the research context, the conceptual frameworks, the key terminology used in the thesis, as well as how my personal and professional life-story inspired this research. In Chapter Two, I discuss the research methodology, sites and spaces, describe the process of multi-sited ethnography in Brazil and Mozambique and reflect about my positionality. The main body of the thesis moves from the macro to the micro level. Chapters 3 and 4 map the reproduction of development and knowledge hierarchies within South-South cooperation institutional discourses and practices and the production of a political economy of opportunities and international mobility for Brazilian development workers. The following chapters discuss how difference and sameness, proximity and distance, and horizontality and verticality are experienced in interactions between Brazilian and Mozambican development workers. Chapter 5 explores principal ways in which the notion of kinship structure relations and imaginaries. Chapter 6 examines affinities, hierarchy and power in an International Non-Governmental Organisation office in Maputo, while Chapter 7 discusses political affinities in feminist knowledge practices. I then analyse the interconnections between the personal, professional and political (Chapter 8) through examining the potential for professional relationships to evolve into something more personal. Chapter 9 concludes the thesis with a review of my findings in the light of the main research question and outlines this thesis’ contribution to academic debates on feminist organising, aid ethnographies and South-South relations.
Tennis stroke detection and classification based on boosted activity detectors and particle filtering

—A new method for tennis stroke detection and classiﬁcation is proposed. The proposed method consists of two parts: stroke detectors and a classiﬁer. Our stroke detectors are based on a combination of Efros et al.’s motion descriptor [2] and Ke et al.’s event detector [3]. Since the stroke detectors work individually, post-processing is required to merge individual detection results when multiple stroke detectors are applied. The proposed classiﬁer is based on particle ﬁltering and it merges the multiple detection results by introducing the game structure of tennis. The proposed method is applied to off-air tennis video data, and the performance is evaluated by comparison to Efros et al.’s method. The experimental results showed that our proposed method outperformed Efros et al.’s method in terms of the recognition rate.
Developing and testing a self-assessment and tutoring system

Automated feedback on writing may be a useful complement to teacher comments in the process of learning a foreign language. This paper presents a self-assessment and tutoring system which combines an holistic score with detection and correction of frequent errors and furthermore provides a qualitative assessment of each individual sentence, thus making the language learner aware of potentially problematic areas rather than providing a panacea. The system has been tested by learners in a range of educational institutions, and their feedback has guided its development.
Assessing Contagion Risks from the CDS Market

The authors assess the risk of contagion stemming from credit default swap (CDS) exposures. Based on a unique dataset provided both by the Depository Trust and Clearing Corporation and the European Securities and Markets Authority, they analyse the main features of the CDS market for European reference entities. They find that activity in this market is concentrated on a group of bank-type global derivative dealers, which they refer to as “super-spreaders”, given their high level of interconnectedness. The authors then carry out contagion analyses which tend to show that domino effects in the network of direct CDS exposures are unlikely to generate big disasters. Nevertheless significant contagion effects can arise from direct exposures to underlying assets, such as government bonds, or also from margin calls and collateral requirements generated by portfolios losses in correlated assets. Overall, contagion effects therefore arise more from indirect Interconnectedness than from direct contractual links among market participants. The paper draws some tentative policy lessons for monitoring and mitigating contagion risks and raises some issues regarding on-going discussions on over-the-counter derivatives.
Linkage Rules for Plant–Pollinator Networks: Trait Complementarity or Exploitation Barriers?

Recent attempts to examine the biological processes responsible for the general characteristics of mutualistic networks focus on two types of explanations: nonmatching biological attributes of species that prevent the occurrence of certain interactions (“forbidden links”), arising from trait complementarity in mutualist networks (as compared to barriers to exploitation in antagonistic ones), and random interactions among individuals that are proportional to their abundances in the observed community (“neutrality hypothesis”). We explored the consequences that simple linkage rules based on the first two hypotheses (complementarity of traits versus barriers to exploitation) had on the topology of plant–pollination networks. Independent of the linkage rules used, the inclusion of a small set of traits (two to four) sufficed to account for the complex topological patterns observed in real-world networks. Optimal performance was achieved by a “mixed model” that combined rules that link plants and pollinators whose trait ranges overlap (“complementarity models”) and rules that link pollinators to flowers whose traits are below a pollinator-specific barrier value (“barrier models”). Deterrence of floral parasites (barrier model) is therefore at least as important as increasing pollination efficiency (complementarity model) in the evolutionary shaping of plant–pollinator networks.
Milestones in atypical and secondary Parkinsonisms

During the last decades, atypical parkinsonian disorders such as multiple system atrophy, dementia with Lewy bodies, progressive supranuclear palsy, and corticobasal degeneration along with secondary parkinsonian disorders have been increasingly recognized as important causes of parkinsonism. Although treatment options are largely limited to date, remarkable progress has occurred through advances in the fields of molecular biology and diagnostic neuroimaging, resulting in intense preclinical drug discovery programs. Early‐investigation‐assisted clinical diagnosis has become more crucial than ever because disease‐modifying therapies will hopefully become available within this decade. © 2011 Movement Disorder Society
The Greenwashing Machine: is CSR more than Communication

Corporate Social Responsibility (CSR) and advertising are strategic complements. If a claim about the environmental or social benefits of a product is unsubstantiated or mislead- ing, this practice is known as greenwashing (GW). The model clearly identifies some "usual suspects" that will prefer GW over CSR. We then carry out an empirical analysis using CSR data, economic data on the 500 largest European firms, and proxies for green com- munication to test the predictions. Several instruments are used to estimate the propensity to prefer GW. We show that "hard greenwashing", i.e. active communication with no CSR at all, is not always a credible strategy, and highlight the concept of "light greenwashing". It may have two dimensions: either it can be a response to the presence of greenwashing firms or it can be due to the simple possibility of advertising. Both possibilities are verified empirically, thus confirming the changing nature of greenwashing practices.
Estimation of Passenger Route Choice Pattern Using Smart Card Data for Complex Metro Systems

Metro systems play an important role in meeting the demand for urban transportation in large cities. The understanding of passenger route choice is critical for public transit management. The wide deployment of automated fare collection (AFC) systems opens up a new opportunity. However, only each trip's tap-in and tap-out time stamp and stations can be directly obtained from AFC system records; the train and route chosen by a passenger are unknown, information necessary to solve our problem. While existing methods work well in some specific situations, they hardly work for complicated situations. In this paper, we propose a solution that needs no additional equipment or human involvement than the AFC systems. We develop a probabilistic model that can estimate from empirical analysis how the passenger flows are dispatched to different routes and trains. We validate our approach using a large-scale data set collected from the Shenzhen Metro system. The measured results provide us with useful input when building the passenger path choice model.
On the Logical Implication of Multivalued Dependencies with Null Values

The implication of multivalued dependencies (MVDs) in relational databases has originally been defined in the context of some fixed finite universe (Fagin 1977, Zaniolo 1976). While axiomatisability, implication problem and many design problems have been intensely studied with respect to this notion, almost no research has been devoted towards the alternative notion of implication in which the underlying universe of attributes is left undetermined (Biskup 1980). A milestone in the advancement of database systems was the permission of null values in databases. In particular, many achievements on MVDs have been extended to encompass incomplete information. Multivalued dependencies with null values (NMVDs) were defined and axiomatised in (Lien 1982). The definition of NMVDs is again based on a fixed underlying universe of attributes, and any complete set of inference rules requires therefore some version of the complementation rule. In this paper we show that the axiomatisation in (Lien 1982) does not reflect the fact that the complementation rule is merely a means to achieve database normalisation. Moreover, we provide an alternative axiomatisation for NMVDs that does reflect this property. We also suggest an alternative notion for the implication of NMVDs in which the underlying universe is left undetermined, and propose several sound and complete sets of inference rules for this notion. Moreover, a correspondence between (minimal) axiomatisations in fixed universes that do reflect the property of complementation and (minimal) axiomatisations in undetermined universes is shown.
Performance analysis of Wave Length Division and Sub Carrier Multiplexing using different modulation techniques

In fiber-optic transmission system, transmission capacity and distance of optical signal are always an important consideration factor to improve the performance of the fiber-optic transmission system. The driving force motivating the use of multichannel optical systems is the enormous bandwidth available in optical fiber. A higher speed signals will be a combination of many lower-speed signals, since very few individual applications today utilize this high bandwidth. These lower-speed channels are multiplexed together in time to form a higher-speed channel. Several systems like Wavelength Division Multiplexing (WDM), Subcarrier Multiplexing (SCM) have been developed in order to increase the performance of transmission systems. In this project, we investigate the performance analysis of WDM and SCM methods. In WDM system, we have investigated the performance of the system using an 8 channel multiplexer. In SCM system, we have investigated the performance of the system using a 4 channel SCM system. The performance analysis of SCM employing OSSB modulation scheme using different modulation schemes like PSK, ASK and FSK have been analysed and performance comparison between these schemes has been done taking several parameters into consideration using optisystem software. Keywords-Subcarrier Multiplexing, Wavelength Division Multiplexing, Amplitude shift keying, Frequency shift keying, Phase shift keying
Selecting Diversified Compounds to Build a Tangible Library for Biological and Biochemical Assays

The quality of diverse compound selection mainly depends on cluster algorithms, descriptors, the combinations of the descriptors, and similarity metrics. The Jarvis-Patrick algorithm, MDL search keys, and Daylight fingerprints are a well accepted algorithm and structure descriptors for compound library diversity analysis. Based upon our 288 experiments on selecting compounds from various descriptor combinations, we have found (1) hybrid Daylight and MDL structural descriptors for diversity analyses can produce worse results; (2) selections based purely on 2,048-bit Daylight fingerprints yield better results than the ones based purely on MDL 166-bit search keys; (3) when Daylight fingerprints and MDL search keys are combined, it is better to compute the similarities independently, then to take the smaller value for the outcome. This will yield better average separation of clusters; (4) regarding the consistency of different clustering approaches, the Daylight fingerprints based clustering is more consistent with the SCA approach than it does with the MDL search keys based approach; (5) The MDL search keys based selection approach tends to select a greater number of compounds from larger clusters. As the Daylight fingerprint is folded two and three times, respectively, information is lost, and this approach tends to select a greater number of compounds from larger clusters as well. These results have not been reported before to our knowledge.
Beijerinckia derxii releases plant growth regulators and amino acids in synthetic media independent of nitrogenase activity

Aims: This study aims at evaluating the ability of Beijerinckia derxii, a free‐living nitrogen (N)‐fixing bacterium frequently isolated from tropical soils, to release certain plant growth regulators [indoleacetic acid (IAA), ethylene, polyamines] and amino acids into the growth medium.