Miracle-dz/UniFAR-FTUs huggingface dataset:
Parent aggression and youth externalizing and internalizing behaviors: Stability and mutual influence

Parent aggression exists on a continuum with corporal punishment at one end and abuse at the other. There is still controversy as to whether any kind of parent aggression toward an adolescent contributes to externalizing and internalizing behaviors. Relative to what is known about parent aggression during childhood, much less is known about parent aggression toward adolescents from a systemic and developmental perspective. This study explored the stability and mutual influence of parent aggression and adolescent externalizing and internalizing behaviors. The study found that the constructs were stable over time, and that with this sample population, parental physical and emotional aggression co‐occurred with internalizing and externalizing behaviors at both points in time. Neither form of parent aggression showed a longitudinal association with youth externalizing or internalizing behaviors. The current study found a mutual influence between parent aggression and youth maladaptive behaviors, thus adding to the growing but limited literature considering both directions of influence. Finally, the study found a temporal association between the quality of relationships with family at T1 and youth internalizing behaviors at T1 and T2, suggesting that family relationships remain important predictors of adolescent emotional wellbeing. PARENT AGGRESSION AND YOUTH EXTERNALIZING AND INTERNALIZING BEHAVIORS: STABILITY AND MUTUAL INFLUENCE By Ann Sheedy B.S.W. Syracuse University, 1990 M.S.W. Syracuse University, 1991 DISSERTATION Submitted in partial fulfillment of the requirements of Doctor of Philosophy in Child and Family Studies in the Department of Child and Family Studies May 2013 Copyright 2013 Ann Sheedy All rights reserved
Call me maybe: understanding nature and risks of sharing mobile numbers on online social networks

Little research explores the activity of sharing mobile numbers on OSNs, in particular via public posts. In this work, we understand the characteristics and risks of mobile numbers shared on OSNs either via profile or public posts and focus on Indian mobile numbers. We collected 76,347 unique mobile numbers posted by 85,905 users on Twitter and Facebook and analyzed 2,997 numbers, prefixed with +91. We observed that most users shared their own mobile numbers to spread urgent information and to market products, IT facilities and escort business. Users resorted to applications like Twitterfeed and TweetDeck to post and popularize mobile numbers on multiple OSNs. To assess risks associated with mobile numbers exposed on OSNs, we used mobile numbers to gain sensitive information (e.g. name, Voter ID) about their owners. We communicated the observed risks to the owners by calling them on their mobile number. Few users were surprised to know the online presence of their number, while few users intentionally put it online for business purposes. With these observations, we highlight that there is a need to monitor leakage of mobile numbers via profile and public posts. To the best of our knowledge, this is the first exploratory study to critically investigate the exposure of mobile numbers on OSNs.
Metabolic Effects of Known and Novel HDAC and SIRT Inhibitors in Glioblastomas Independently or Combined with Temozolomide

Inhibition of protein deacetylation enzymes, alone or in combination with standard chemotherapies, is an exciting addition to cancer therapy. We have investigated the effect of deacetylase inhibition on the metabolism of glioblastoma cells. 1H NMR metabolomics analysis was used to determine the major metabolic changes following treatment of two distinct glioblastoma cell lines, U373 and LN229, with five different histone deacetylase (HDAC) inhibitors, as well as one inhibitor of NAD+-dependent protein deacetylases (SIRT). The addition of the standard glioblastoma chemotherapy agent, temozolomide, to the HDAC and SIRT treatments led to a reduction in cell survival, suggesting a possibility for combined treatment. This study shows that distinct glioblastoma cell lines, with different metabolic profiles and gene expression, experience dissimilar changes following treatment with protein deacetylase inhibitors. The observed effects of inhibitors on mitochondrial metabolism, glycolysis and fatty acid synthesis suggest possible roles of protein deacetylases in metabolism regulation. Metabolic markers of the effectiveness of anti-protein deacetylase treatments have been explored. In addition to known deacetylation inhibitors, three novel inhibitors have been introduced and tested. Finally, 1H NMR analysis of cellular metabolism is shown to be a fast, inexpensive method for testing drug effects.
Simple Verifiable Elections

Much work has been done in recent decades to apply sophisticated cryptographic techniques to achieve strong end-to-end verifiability in election protocols. The properties of these protocols are much stronger than in any system in general use; however, the complexity of these systems has retarded their adoption. This paper describes a relatively simple but still effective approach to cryptographic elections. Although not as computationally efficient as previously proposed cryptographic approaches, the work presented herein is intended to be more accessible and therefore more suitable for comparison with other voting systems.
Automatic generation of weather forecast texts using comprehensive probabilistic generation-space models

Abstract Two important recent trends in natural language generation are (i) probabilistic techniques and (ii) comprehensive approaches that move away from traditional strictly modular and sequential models. This paper reports experiments in which pcru – a generation framework that combines probabilistic generation methodology with a comprehensive model of the generation space – was used to semi-automatically create five different versions of a weather forecast generator. The generators were evaluated in terms of output quality, development time and computational efficiency against (i) human forecasters, (ii) a traditional handcrafted pipelined nlg system and (iii) a halogen-style statistical generator. The most striking result is that despite acquiring all decision-making abilities automatically, the best pcru generators produce outputs of high enough quality to be scored more highly by human judges than forecasts written by experts.
Cellular distribution of Glut‐1 and Glut‐5 in benign and malignant human prostate tissue

Over‐expression of hexose transporters (Gluts), specifically Glut‐1, is a common event in human malignancies. In prostate cancer (CaP), however, expression of Gluts has been characterized poorly. In this study, expression and distribution of Glut‐1 and Glut‐5 proteins were characterized using immunohistochemistry in 76 specimens of benign prostate, 10 specimens of high‐grade intraepithelial neoplasia (HGPIN), and 28 specimens of CaP. In addition, mRNA expression of Glut‐2, Glut‐7, Glut‐9, and Glut‐11 was analyzed in a set of five specimens of benign prostate and CaP. In benign prostate, Glut‐1 localized to the basal cells and to the basolateral membrane of secretory/luminal epithelial cells. Glut‐5, however, localized to the apical membrane of secretory/luminal epithelial cells. In HGPIN, Glut‐1 was immunohistochemically undetectable. Glut‐5, however, localized to the apical membrane of the neoplastic epithelial cells. In CaP, Glut‐1 and Glut‐5, were immunohistochemically undetectable. However, over‐expression of GLUT1 was observed in some specimens of highly proliferative intraductal CaP. Glut‐7, Glut‐9, and Glut‐11 mRNAs were detected in benign prostate and CaP, however, only Glut‐11 mRNA was consistently up‐regulated in CaP compared to benign prostate. Low levels of expression of Glut‐1 protein in the majority of CaP could explain, at least in part, the limited clinical applicability of positron emission tomography using 2‐[18F]‐fluoro‐2‐deoxy‐D‐glucose for imaging CaP. Moreover, expression of Glut‐5 in HGPIN suggested that fructose could be utilized as potential metabolic substrate in HGPIN. Understanding the molecular mechanisms involved in regulation/dysregulation of Gluts in CaP could provide insight in the understanding of hexose metabolism in CaP. J. Cell. Biochem. 113: 553–562, 2012. © 2011 Wiley Periodicals, Inc.
Supplementary file: AverageExplorer: Interactive Exploration and Alignment of Visual Data Collections

User preference study: We conducted a user preference study to compare our average images against those produced by several baselines: (1) ArtistAverage: created by Jason Salavon (Figure 1a in paper); (2) ManualAverage: created by manually selecting images from a database; (3) ClusteringAverage: created by [1]. All methods use ∼100 images to generate an average image. We asked 100 Amazon Mechanical Turkers to compare the average images of the methods and select the one that conveys the most information, i.e., clearly depicts a single concept related to the keyword used to create the database (e.g., ‘Kids with Santa’). For ‘Kids with Santa’, Jason Salavon created only one average image [2], so we select the average image that is most visually similar to his result for all methods. 96, 3, and 1 MTurkers selected AverageExplorer, ArtistAverage, and ManualAverage, respectively. We also performed the same study for ‘Faces in the Wild’, ‘Wedding kiss’ and ‘Church’, and compared against ClusteringAverage. This time, we compared sets of 6 average images (as shown in Figures 2-4). 99% of MTurkers believed our averages to convey more information about the keyword. Figures 5 and 6 show an example Mechanical Turk HIT for the user preference study. We only allowed MTurkers who have completed at least 1000 jobs and have an approval rating ≥ 95 to work on our HIT.
Passification based synchronization of cascade Lurie systems with quantized signals

The problem of synchronization of two nonlinear systems with functional uncertainty, disturbance and a discrete controller is solved. It was shown that in use controller with dynamic quantizer the system solution is asymptotically stable. Estimates of the errors caused by bounded quantizer are given. The results obtained in this article have a real practical application, which is confirmed by the example with the model of motion of vehicles.
Mechanism for Coding-Aware Opportunistic Retransmission in Wireless Networks

Efficient and reliable communications is a critical issue in wireless networks with lossy links. In this paper, we propose a neighbor-assisted coding aware opportunistic retransmission mechanism to increase the network throughput. The key idea behind our design is as follows. If a node fails to receive a packet due to link loss, its neighboring node(s) receiving the packet can assist the retransmission of the packet, possibly encoded with other packet(s) via localized network coding, if such retransmission is expected to be beneficial. This can effectively reduce the total number of packet retransmissions at the MAC layer. Simulation results show that our proposed mechanism can significantly increase the network throughput as compared with existing work.
Clinical Outcome after Switching Therapy from Ranibizumab and/or Bevacizumab to Aflibercept in Central Retinal Vein Occlusion

Purpose: After 48 months, unresolved macular edema secondary to central retinal vein occlusion (CRVO) is present in more than half of the patients treated with ranibizumab/bevacizumab. Switching therapy to aflibercept, a more recent vascular endothelial growth factor-A (VEGF-A) inhibitor, as well as VEGF-B and placental growth factor inhibitor, might improve the clinical outcome in patients with CRVO who respond insufficiently to ranibizumab/bevacizumab. Methods: The presented study is a retrospective analysis of CRVO patients (n = 13) responding insufficiently to ranibizumab and/or bevacizumab (requiring treatment every 6 weeks or more frequently). Treatment in these patients was switched to aflibercept, which was administered based on a ‘treat and extend' regime. The injection interval, relapse-free interval, central retinal thickness, central retinal volume, visual acuity, and intraocular pressure (IOP) were evaluated prior to switching to aflibercept and at month 6 and year 1 after switching therapy. Results: From baseline to year 1 after switching therapy to aflibercept, the mean injection interval (primary end point) increased by 0.51 months (p = 0.023) and the relapse-free interval by 3.02 weeks (p = 0.003). The mean central retinal thickness decreased by 195.84 µm and the mean central retinal volume (6 mm diameter) by -1.81 mm3 (p = 0.007). Correspondingly, the mean ETDRS score increased from 66.15 at baseline to 76.54 letters at year 1 after switching therapy to aflibercept (+10.38 letters, p = 0.021). The IOP was not statistically significantly affected (-1.2 mm Hg, p = 0.196). Conclusion: Switching therapy from intravitreal ranibizumab/bevacizumab to aflibercept in insufficiently responding macular edema secondary to CRVO elongates the injection interval and the relapse-free interval and provides an improved anatomical as well as functional outcome.
The Cytochrome c Oxidase from Paracoccus denitrificans Does Not Change the Metal Center Ligation upon Reduction*

Cytochrome c oxidase catalyzes the reduction of oxygen to water. This process is accompanied by the vectorial transport of protons across the mitochondrial or bacterial membrane (“proton pumping”). The mechanism of proton pumping is still a matter of debate. Many proposed mechanisms require structural changes during the reaction cycle of cytochrome c oxidase. Therefore, the structure of the cytochrome c oxidase was determined in the completely oxidized and in the completely reduced states at a temperature of 100 K. No ligand exchanges or other major structural changes upon reduction of the cytochrome coxidase from Paracoccus denitrificans were observed. The three histidine CuB ligands are well defined in the oxidized and in the reduced states. These results are hardly compatible with the “histidine cycle” mechanisms formulated previously.
Receptor Tyrosine Kinases Fall into Distinct Classes Based on Their Inferred Signaling Networks

Clustering receptor tyrosine kinase networks reveals potentially useful combination cancer therapies to overcome resistance. Networks of Resistance Although effective, pharmacological targeting of receptor tyrosine kinases (RTKs) in cancer is often associated with primary or acquired resistance. Wagner et al. performed RNAi (RNA interference) perturbations of signaling proteins and monitored changes in protein phosphorylation status to study the temporal signaling downstream of six RTKs. Using network inference algorithms, network models for each of the six RTKs were constructed. Although each RTK network contained distinct patterns of signaling and regulatory events, shared features enabled classification of the six RTKs into three distinct classes. Analysis of cancer cell lines showed that the increased abundance of RTKs within a class correlated with resistance to inhibitors targeting individual receptors of that class, suggesting that some tumor cells may be primed to resist inhibitors that target individual RTKs and that targeting multiple receptors within a class may prevent resistance. Although many anticancer drugs that target receptor tyrosine kinases (RTKs) provide clinical benefit, their long-term use is limited by resistance that is often attributed to increased abundance or activation of another RTK that compensates for the inhibited receptor. To uncover common and unique features in the signaling networks of RTKs, we measured time-dependent signaling in six isogenic cell lines, each expressing a different RTK as downstream proteins were systematically perturbed by RNA interference. Network models inferred from the data revealed a conserved set of signaling pathways and RTK-specific features that grouped the RTKs into three distinct classes: (i) an EGFR/FGFR1/c-Met class constituting epidermal growth factor receptor, fibroblast growth factor receptor 1, and the hepatocyte growth factor receptor c-Met; (ii) an IGF-1R/NTRK2 class constituting insulin-like growth factor 1 receptor and neurotrophic tyrosine receptor kinase 2; and (iii) a PDGFRβ class constituting platelet-derived growth factor receptor β. Analysis of cancer cell line data showed that many RTKs of the same class were coexpressed and that increased abundance of an RTK or its cognate ligand frequently correlated with resistance to a drug targeting another RTK of the same class. In contrast, abundance of an RTK or ligand of one class generally did not affect sensitivity to a drug targeting an RTK of a different class. Thus, classifying RTKs by their inferred networks and then therapeutically targeting multiple receptors within a class may delay or prevent the onset of resistance.
Isolation and characterization of the nephritogenic antigen producing anti-tubular basement membrane disease

Using monoclonal antibody affinity chromatography, we isolated a 48,000 mol wt, glucose-rich glycoprotein (3M-1) from collagenase-solubilized rabbit renal tubular basement membrane (SRTA). The purified 3M-1 protein is noncollagenous, and is capable of inducing anti-TBM (tubular basement membrane) antibodies and interstitial nephritis in susceptible hosts. Further, when SRTA, at a normally nephritogenic dose, was selectively depleted of 3M-1, it lost its ability to induce disease. As shown by immunofluorescent techniques, 3M-1 appears to be localized on rodent TBM to the exclusion of the glomerular basement membrane, but was lacking in the TBM of the LEW rat, a strain devoid of the relevant antigen of anti-TBM disease. Immunoelectron microscopy revealed that 3M- 1 was associated with the most lateral aspect of the TBM, which borders, and lies in the interstitium. These results indicate that 3M-1 is the nephritogenic antigen producing experimental anti-TBM disease.
Engineering of a green-light inducible gene expression system in Synechocystis sp. PCC6803

In order to construct a green‐light‐regulated gene expression system for cyanobacteria, we characterized a green‐light sensing system derived from Synechocystis sp. PCC6803, consisting of the green‐light sensing histidine kinase CcaS, the cognate response regulator CcaR, and the promoter of cpcG2 (PcpcG2). CcaS and CcaR act as a genetic controller and activate gene expression from PcpcG2 with green‐light illumination. The green‐light induction level of the native PcpcG2 was investigated using GFPuv as a reporter gene inserted in a broad‐host‐range vector. A clear induction of protein expression from native PcpcG2 under green‐light illumination was observed; however, the expression level was very low compared with Ptrc, which was reported to act as a constitutive promoter in cyanobacteria. Therefore, a Shine‐Dalgarno‐like sequence derived from the cpcB gene was inserted in the 5′ untranslated region of the cpcG2 gene, and the expression level of CcaR was increased. Thus, constructed engineered green‐light sensing system resulted in about 40‐fold higher protein expression than with the wild‐type promoter with a high ON/OFF ratio under green‐light illumination. The engineered green‐light gene expression system would be a useful genetic tool for controlling gene expression in the emergent cyanobacterial bioprocesses.
Cribado de trastornos de la personalidad: un metaanálisis

: Personality disorders (PD) are highly prevalent and impairing stable patterns of maladaptive behavior that are associated to high health care costs. Although PD detection in clinical settings is a priority issue, it is still unknown which are the most reliable and valid screening instruments. For this purpose, 26 studies examining the diagnostic ability of 19 different screening tools that included structured interviews as the gold standard were meta-analyzed. The total median for the kappa was 0.40 (range 0.14 to 0.86), indicating poor to moderate agreement. Brief instruments created ad hoc showed the best predictive ability (Mdkappa=0.56) and are, because of their easy application, the first-line screening tools.
CAM Use and Suggestions for Medical Care of Senior Citizens: A Qualitative Study Using the World Café Method

Background. Little data exists concerning the reasons for using complementary and alternative (CAM) therapies by seniors. Therefore, the aim of this study is to learn about motives of German seniors for using CAM therapies and their wishes for health care in general. Methods. One focus group and one “World Café” following a semistructured interview guide were conducted. All discussions were recorded digitally, transcribed, and analyzed according to Qualitative Content Analysis using the software MAXQDA. Results. In total 21 seniors participated (eighteen female, three male, mean age 72.5 ± 4.3 years). Most of the participants had lifelong experiences with medicinal herbs and home remedies due to unavailable conventional care during childhood. Also important for them were nutrition and exercise. These methods were often used as self-care to enhance wellbeing, to prevent and to cure illnesses. The participants would welcome an integration of CAM in health care services. They asked especially for more empathic physicians who are better trained in CAM and respect their experiences. Conclusion. The importance of life experience in regard to health care by senior can be seen as a resource. Qualitative studies investigating physician-patient relationships and intergenerational aspects in CAM use could be of interest for further studies.
High resolution radar for automobile applications

Abstract. This contribution points out the potential of radar sensors with high resolution in azimuth and range in traffic environment and addresses some aspects of their practical implementation with respect to system design, hardware and software. A prototypical vehicle-based instrumentation radar is presented, which performs on-line acquisition and real-time visualisation of radar images with an update rate of up to 10 Hz. The enhanced perception capabilities of high resolution radar in traffic environment will be demonstrated with respect to new comfort and safety features, and practical realisation approaches concerning data processing and hardware including the scanning antenna will be discussed.
Towards emotion recognition from electroencephalographic signals

During the last decades, information about the emotional state of users has become more and more important in human-computer interaction. Automatic emotion recognition enables the computer to recognize a user's emotional state and thus allows for appropriate reaction, which may pave the way for computers to act emotionally in the future. In the current study, we investigate different feature sets to build an emotion recognition system from electroencephalo-graphic signals. We used pictures from the International Affective Picture System to induce three emotional states: pleasant, neutral, and unpleasant. We designed a headband with four build-in electrodes at the forehead, which was used to record data from five subjects. Compared to standard EEG-caps, the headband is comfortable to wear and easy to attach, which makes it more suitable for everyday life conditions. To solve the recognition task we developed a system based on support vector machines. With this system we were able to achieve an average recognition rate up to 66.7% on subject dependent recognition, solely based on EEG signals.