Miracle-dz/UniFAR-FTUs huggingface dataset:
Metamorphosis in mother after 35 years: a study of Grounded Theory

Introduction The present study is part of a broader research aimed to extend the understanding of the transition to motherhood after the age of 35, a trend that has been observed in developed countries (Carolan & Frankowska, 2011), including Portugal (Mendes et al., 2016). Maternity is considered the major developmental transition throughout the life cycle (Mercer, 2004), which implies that the woman restructure her goals, behaviors and responsibilities to achieve a new concept of self. Methodology We use the constructivist perspective of Charmaz's Grounded Theory (2014). To collect data, we used the semi-structured interview, the Photovoice method (Wang & Burris, 1997; Santos et al., 2018) and field notes. For the selection of the participants, in the initial sampling we defined inclusion criteria, and later the theoretical sampling was used. Results In the present article we present only the results obtained from two categories - "Confronting the dark side" and "Caring for herself". Discussion “Confronting the Dark Side” participants became aware of their vulnerability associated with the transition when confronted with this obscure side of motherhood. Doubts and difficulties experienced by participants, awakened feelings of inadequacy in paper performance (Meleis, 2010), and felt that their changing identity was fragile and even threatened. “Caring for Herself" is the response patterns and the strategies used by the participants to recover their identity, previously felt as threatened. In a deeply hedonistic society, referred by Badinter (2010), and narcissistic (Lipovetsky, 2017), women when become mothers cease to worry about themselves and tend to forget about themselves, in favor of the care of the baby. Conclusions Motherhood, because of its irreversibility, implies a new intense and lifelong relationship and, therefore, has a great impact on the personality of the woman. The study allowed us to conclude that in the process of "Metamorphosis in Mother after 35 years" two of the categories that integrate it - "Confronting the Dark Side" and "Caring for Herself" - uncovered an obscure side of motherhood, ruled by difficulties experienced by mothers in the first two months after childbirth, unknown to mothers. To overcome these perceived difficulties in role performance, the response patterns and strategies used by the participants were aimed at restoring their identity that they had previously threatened to rebalance, compensate, and care for themselves. Lack of gender equality in the division of household chores and childcare were also factors mentioned as contributors to the confrontation with the dark side of motherhood, postponing or making a decision not to have more children.
Cell Cycle Dependence of DNA-dependent Protein Kinase Phosphorylation in Response to DNA Double Strand Breaks*

DNA-dependent protein kinase (DNA-PK), consisting of Ku and DNA-PKcs subunits, is the key component of the non-homologous end-joining (NHEJ) pathway of DNA double strand break (DSB) repair. Although the kinase activity of DNA-PKcs is essential for NHEJ, thus far, no in vivo substrate has been conclusively identified except for an autophosphorylation site on DNA-PKcs itself (threonine 2609). Here we report the ionizing radiation (IR)-induced autophosphorylation of DNA-PKcs at a novel site, serine 2056, the phosphorylation of which is required for the repair of DSBs by NHEJ. Interestingly, IR-induced DNA-PKcs autophosphorylation is regulated in a cell cycle-dependent manner with attenuated phosphorylation in the S phase. In contrast, DNA replication-associated DSBs resulted in DNA-PKcs autophosphorylation and localization to DNA damage sites. These results indicate that although IR-induced DNA-PKcs phosphorylation is attenuated in the S phase, DNA-PKcs is preferentially activated by the physiologically relevant DNA replication-associated DSBs at the sites of DNA synthesis.
Mutual Community Detection across Multiple Partially Aligned Social Networks

Community detection in online social networks has been a hot research topic in recent years. Meanwhile, to enjoy more social network services, users nowadays are usually involved in multiple online social networks simultaneously, some of which can share common information and structures. Networks that involve some common users are named as multiple "partially aligned networks". In this paper, we want to detect communities of multiple partially aligned networks simultaneously, which is formally defined as the "Mutual Clustering" problem. The "Mutual Clustering" problem is very challenging as it has two important issues to address: (1) how to preserve the network characteristics in mutual community detection? and (2) how to utilize the information in other aligned networks to refine and disambiguate the community structures of the shared users? To solve these two challenges, a novel community detection method, MCD (Mutual Community Detector), is proposed in this paper. MCD can detect social community structures of users in multiple partially aligned networks at the same time with full considerations of (1) characteristics of each network, and (2) information of the shared users across aligned networks. Extensive experiments conducted on two real-world partially aligned heterogeneous social networks demonstrate that MCD can solve the "Mutual Clustering" problem very well.
Near Real-Time Stereo Matching Using Geodesic Diffusion

Adaptive-weight algorithms currently represent the state of the art in local stereo matching. However, due to their computational requirements, these types of solutions are not suitable for real-time implementation. Here, we present a novel aggregation method inspired by the anisotropic diffusion technique used in image filtering. The proposed aggregation algorithm produces results similar to adaptive-weight solutions while reducing the computational requirements. Moreover, near real-time performance is demonstrated with a GPU implementation of the algorithm.
A fractal network model with tunable fractal dimension

We propose a model for growing fractal networks based on the mechanisms learned from the diffusion-limited aggregation (DLA) model in fractal geometries in the viewpoint of network. By studying the DLA network, our model introduces multiplicative growth, aging and geographical preferential attachment mechanisms, whereby featuring topological self-similar property and hierarchical modularity. According to the results of theoretical analysis and simulation, the degree distribution of the proposed model shows a mixed degree distribution (i.e., exponential and algebraic degree distribution) and the fractal dimension and clustering coefficient can be tuned by changing values of parameters.
Predictive acoustic localization and speaker tracking for distributed sensor networks

Acoustic source localization has a variety of applications, from speech signal enhancement to mobile object tracking. Localization procedures applying lightweight algorithms are appealing for implementation in distributed embedded systems. This paper builds on our previous research of simplifying acoustic localization based on the Steered Response Power with Phase Transform (SRP-PHAT) algorithm and proposes further enhancement by introducing object trajectory tracking and coordinate prediction. For these purposes we integrate Kaiman and Rao-Blackwellized particle filters into our simplified approach. Filter predictions serve as target areas for acoustic source search during the subsequent time frames, supporting localization. The approach is applied to moving speaker tracking and displays promising results.
Comparing the Access to and Legibility of Japanese Language Texts in Massive Digital Libraries

A random sample of 800 Japanese-language books with publication dates prior to 1943 was extracted from the OCLC World Cat database and 409 were examined. The book titles were queried in both Google Books and HathiTrust. The texts were then examined for their level of typical user access, their accuracy in metadata, and their scan quality. Despite their likely public domain status within Japan and in the United States, 0.2% (N=1) of the sampled texts were visible in Google Books as full texts. While 12.5% (N=50) of the sample were visible in HathiTrust. Within the full view texts, errors in scanning and metadata were identified, including problems with legibility (blurred characters) in 68% of visible texts, distorted content (slanted and upside-down pages) in 90%, motion or blur of turning pages captured by digital cameras in 48%, extra-textual objects (3-D items not part of text, i.e. Fingers, hands, book holders, etc.) in 94%, and use of heavily-defaced, dirty or fragile source material in 28%. The most common metadata errors were missing bibliographic information, especially missing page numbers (in 18% of texts) and incomplete tables of contents (in 22%), and problems associated with poor OCR, especially unusable keywords and common phrases (in 50% of texts) that appear to be random words, articles, and unpronounceable symbols.
DESIGNING CREATIVITY

Is it possible to design for creativity? This is one of the most important research questions in AI and Design. This paper raises the question whether automated software agent design can be creative. Not only is the artefact dynamic in the sense that it adapts to its environment, it is also autonomous: an agent decides on its own when to be modified and by whom. An agent’s functionality may evolve beyond the expectations of its designers and/or users resulting in very new, unique artefacts. Is this type of design creative? Is the process creative? The result?
HyNote: Integrated Concept Mapping and Notetaking

Notes can be taken in a linear or nonlinear way. Previous work suggests that nonlinear note taking is advantageous in terms of sense-making and long-term recall. However, previous studies also reveal that the combination of divided attention and time pressure make realtime notetaking a challenge. In this paper, we propose a new hybrid workflow inheriting advantages from both linear and nonlinear notetaking approaches. Our resulting HyNote (Hybrid Notetaking) system uses statistical parsing of linear raw notes to facilitate concepts mapping, allowing users to smoothly switch between linear and nonlinear approaches with low effort and time costs. Results from our preliminary study of HyNote show that users can easily map concepts in realtime and achieve superior understanding of lecture contents in a video learning task compared with using the traditional linear Notepad application.
Plasmid DNA Containing a Copy of RNA3 Can Substitute for RNA3 in Alfalfa Mosaic Virus RNA Inocula

Summary The infectivity of a DNA copy of RNA3 from strain S of alfalfa mosaic virus inserted in a pT7-1 plasmid vector (clone 3pT7-1) was tested as circular DNA by co-inoculation with RNAs 1, 2 and 4 from strain B (mix I0) on young tobacco leaves. Virus multiplication was monitored by serological detection of the coat protein. Progeny RNA3 derived from circular plasmid DNA 3pT7-1 was of the same length as naturally occurring RNA3-S. Analysis by primer extension demonstrated that it had the 5′-terminal sequence of RNA3-S and not that of RNA3-B. Mix I0 also became infectious when mixed with M13 single-stranded DNA carrying RNA3-S inserted in the (-) strand orientation, probably because traces of RNA3-B present in mix I0 were protected from degradation by base-pairing and were therefore active.
Overcome state of the art Special math needed for explanations : Propositional logic Special math needed to using the results : Same Results useful to : Reliability engineers and analysts Summary

The performances of almost all available fault tree analysis tools are limited by the performance of the prime implicant computation procedure they use. All these procedures manipulate the prime implicants of the fault trees in extension, so that the analysis costs are directly related to the number of prime implicants to be generated, which in practice makes these tools difficult to be applied on fault trees with more than 20000 prime implicants. This paper introduces an analysis method of coherent as well as noncoherent fault trees that overcomes this limitation because its computational cost is related to neither the number of basic events, nor the number of gates, nor the number of prime implicants of these trees. We present the concepts underlying the prototype tool METAPRIME, and the experimental results obtained with this tool on real life fault trees. These results show that these concepts allow us to completely analyse in seconds fault trees that no previously available technique could ever partially analyse, for instance noncoherent fault trees with more than 1020 prime implicants. The concepts that we present here can also be used for the analysis of event trees because such trees denote Boolean functions on which these concepts can be applied. Prime implicant computation is a problem that is also critical in many other domains, in particular in artificial intelligence applications such as reasoning maintenance and multiple fault diagnosis. The application of the concepts underlying METAPRIME to the resolution of these problems is under study.
A Syntax-first Approach to High-quality Morphological Analysis and Lemma Disambiguation for the TüBa-D/Z Treebank

Morphological analyses and lemma information are an important auxiliary resource for any treebank, especially for morphologically rich languages since such information is a useful precondition for any task that needs to link surface forms to semantic interpretation (either through wordnets or distributional measures). In contrast to common practice in parsing, the method used in the TuBaD/Z treebank uses syntactic information for the morphological and lemma disambiguation. We argue that this approach has an advantage in the context of treebanking since many ambiguities in morphology and lemmas can be eliminated given the syntactic context.
Epidermal Growth Factor Induction of the c-jun Promoter by a Rac Pathway

ABSTRACT The c-jun proto-oncogene encodes a transcription factor which is activated by mitogens both transcriptionally and by phosphorylation by Jun N-terminal kinase (JNK). We have investigated the cellular signalling pathways involved in epidermal growth factor (EGF) induction of the c-jun promoter. We find that two sequence elements, which bind ATF1 and MEF2D transcription factors, are required in HeLa cells, although they are not sufficient for maximal induction. Activated forms of Ras, RacI, Cdc42Hs, and MEKK increased expression of the c-jun promoter, while dominant negative forms of Ras, RacI, and MEK kinase (MEKK) inhibited EGF induction. These and previously published results suggest that EGF activates the c-jun promoter by a Ras-to-Rac-to-MEKK pathway. This pathway is similar to that used for posttranslational activation of c-jun by JNK.
Visual Text Analytics for Online Conversations: Design, Evaluation, and Applications

Analyzing and gaining insights from a large amount of textual conversations can be quite challenging for a user, especially when the discussions become very long. During my doctoral research, I have focused on integrating Information Visualization (InfoVis) with Natural Language Processing (NLP) techniques to better support the user's task of exploring and analyzing conversations. For this purpose, I have designed a visual text analytics system that supports the user exploration, starting from a possibly large set of conversations, then narrowing down to a subset of conversations, and eventually drilling-down to a set of comments of one conversation. While so far our approach is evaluated mainly based on lab studies, in my on-going and future work I plan to evaluate our approach via online longitudinal studies.
Multiple forms of activity‐dependent intrinsic plasticity in layer V cortical neurones in vivo

Synaptic plasticity is classically considered as the neuronal substrate for learning and memory. However, activity‐dependent changes in neuronal intrinsic excitability have been reported in several learning‐related brain regions, suggesting that intrinsic plasticity could also participate to information storage. Compared to synaptic plasticity, there has been little exploration of the properties of induction and expression of intrinsic plasticity in an intact brain. Here, by the means of in vivo intracellular recordings in the rat we have examined how the intrinsic excitability of layer V motor cortex pyramidal neurones is altered following brief periods of repeated firing. Changes in membrane excitability were assessed by modifications in the discharge frequency versus injected current (F–I) curves. Most (∼64%) conditioned neurones exhibited a long‐lasting intrinsic plasticity, which was expressed either by selective changes in the current threshold or in the slope of the F–I curve, or by concomitant changes in both parameters. These modifications in the neuronal input–output relationship led to a global increase or decrease in intrinsic excitability. Passive electrical membrane properties were unaffected by the intracellular conditioning, indicating that intrinsic plasticity resulted from modifications of voltage‐gated ion channels. These results demonstrate that neocortical pyramidal neurones can express in vivo a bidirectional use‐dependent intrinsic plasticity, modifying their sensitivity to weak inputs and/or the gain of their input–output function. These multiple forms of experience‐dependent intrinsic changes, which expand the computational abilities of individual neurones, could shape new network dynamics and thus might participate in the formation of mnemonic motor engrams.
CORRELATED OPTICAL AND X-RAY FLARES IN THE AFTERGLOW OF XRF 071031

We present a densely sampled early light curve of the optical/near-infrared (NIR) afterglow of the X-Ray Flash (XRF) 071031 at z = 2.692. Simultaneous and continuous observations in seven photometric bands from g′ to KS with GROND (Gamma-Ray Burst Optical/Near-InfraRed Detector) at the 2.2-m MPI/ESO telescope on LaSilla were performed between 4 minutes and 7 hr after the burst. The light curve consists of 547 individual points which allows us to study the early evolution of the optical transient associated with XRF 071031 in great detail. The optical/NIR light curve is dominated by an early increase in brightness which can be attributed to the apparent onset of the forward shock emission. There are several bumps which are superimposed onto the overall rise and decay. Significant flaring is also visible in the Swift X-Ray Telescope (XRT) light curve from early to late times. The availability of high-quality, broadband data enables detailed studies of the connection between the X-ray and optical/NIR afterglow and its color evolution during the first night postburst. We find evidence of spectral hardening in the optical bands contemporaneous with the emergence of the bumps from an underlying afterglow component. The bumps in the optical/NIR light curve can be associated with flares in the X-ray regime suggesting late central engine activity as the common origin.
Ramifications: An Extension and Correspondence Result for the Event Calculus

Classical logic Event Calculus, and the special purpose logical action language Formula, are both well established formalisms for describing actions and change. However, there is yet to be an account of ramifications in Event Calculus sufficiently general to represent the classes of domains expressible in Formula. Indeed, an adequately general ramification theory constructed in any general purpose logical language still awaits. Therefore, under the motivation of creating a flexible ramification theory in a universal language, suitable for integration into a rich action theory, a new enhanced version of classical logic Event Calculus named EC-R is proposed. EC-R supports representation and reasoning about domains containing ramifications for classes of domains more general than those possible under previous general purpose language formulations. This article makes two main contributions. The first, EC-R, is a narrative-based action formalism able to represent concurrent events, non-deterministic actions and indirect causal effects by virtue of an integrated solution to the frame and ramification problems. The formalism can reason about significant subclasses of domains containing both mutually interacting effects and cyclic causal dependencies. The formalism is elaboration tolerant and may be integrated with the standard variants of the Event Calculus. The second contribution is the definition of a semantic mapping between EC-R and Formula, and a proof of soundness and completeness of the EC-R theory with respect to Formula's model theoretic specification.
The effect of rotation on the abundances of the chemical elements of the A-type stars in the Praesepe cluster ?

Aims. We study how chemical abundances of late B‐, A‐ and early F‐type stars evolve with time, and we search for correlations between the abundance of chemical elements and other stellar parameters, such as e ective temperature and sini. Methods. We have observed a large number of B‐, A‐ and F‐type stars belonging to open clusters of di erent ages. In this paper we concentrate on the Praesepe cluster (logt = 8.85), for which we have obtained high resolution, high signal‐to‐noise ratio spectra of sixteen normal A‐ and F‐type stars and one Am star, using the SOPHIE spectrograph of the Observatoire de Haute‐Provence. For all the observed stars, we have derived fundamental parameters and chemical abundances. In addition, we discuss another eight Am stars belonging to the same cluster, for which the abundance analysis had been presented in a previous paper. Results. We find a strong correlation between peculiarity of Am stars and sini. The abundance of the elements underabundant in Am stars increases with sini, while it decreases for the overabundant elements. Chemical abundances of various elements appear correlated with the iron abundance.
Ricci flows and expansion in axion-dilaton cosmology

We study renormalization-group flows by deforming a class of conformal sigma-models. We consider overall scale factor perturbation of Einstein spaces as well as more general anisotropic deformations of three-spheres. At leading order in α', renormalization-group equations turn out to be Ricci flows. In the three-sphere background, the latter is the Halphen system, which is exactly solvable in terms of modular forms. We also analyze time-dependent deformations of these systems supplemented with an extra time coordinate and time-dependent dilaton. In some regimes time evolution is identified with renormalization-group flow and time coordinate can appear as Liouville field. The resulting space-time interpretation is that of a homogeneous isotropic Friedmann-Robertson-Walker universe in axion-dilaton cosmology. We find as general behaviour the superposition of a big-bang (polynomial) expansion with a finite number of oscillations at early times. Any initial anisotropy disappears during the evolution.