Miracle-dz/UniFAR-FTUs huggingface dataset:
Roles of Calcium Regulating MicroRNAs in Cardiac Ischemia-Reperfusion Injury

Cardiac Ca2+ cycling and signaling are closely associated with cardiac function. Changes in cellular Ca2+ homeostasis may lead to aberrant cardiac rhythm and may play a critical role in the pathogenesis of cardiac diseases, due to their exacerbation of heart failure. MicroRNAs (miRNAs) play a key role in the regulation of gene expression at the post-transcriptional level and participate in regulating diverse biological processes. The emerging evidence indicates that the expression profiles of miRNAs vary among human diseases, including cardiovascular diseases. Cardiac Ca2+-handling and signaling proteins are also regulated by miRNAs. Given the relationship between cardiac Ca2+ homeostasis and signaling and miRNA, Ca2+-related miRNAs may serve as therapeutic targets during the treatment of heart failure. In this review, we summarize the knowledge currently available regarding the role of Ca2+ in cardiac function, as well as changes in Ca2+ cycling and homeostasis and the handling of these processes by miRNAs during cardiac ischemia-reperfusion injury.
Normothermic Machine Perfusion versus Cold Storage of Liver in Pig Model: A Meta-Analysis

Background Normothermic machine perfusion (NMP) is a novel strategy used for organ preservation. We aimed to determine the overall efficacy of NMP for liver preservation versus traditional static cold storage (CS). Material/Methods We performed a meta-analysis of the literature to evaluate the efficacy of NMP in experimental pig models of liver preservation. We use the standardized mean difference and 95% confidence intervals (CI) to calculate statistics and used the random effects model for the combined analysis of the results. Results A total of 16 studies from 12 published articles were included. The combined results showed that NMP significantly decreased alanine aminotransferase (ALT), aspartate aminotransferase (AST), and hyaluronic acid levels in serum or perfusate, significantly increased bile production, and had a similar 5–7-days survival rate after liver transplantation compared with the CS group. Conclusions NMP provides superior graft preservation compared with CS in the pig model.
Community Detection via Local Dynamic Interaction

How can we uncover the natural communities in a real network that allows insight into its underlying structure and also potential functions? In this paper, we introduce a new community detection algorithm, called Attractor, which automatically spots the communities or groups in a network over time via local dynamic interaction. The basic idea is to envision a network as a dynamical system, and each agent interacts with its local partners. Instead of investigating the node dynamics, we actually examine the change of "distances" among linked nodes. As time evolves, these distances will be shrunk or stretched gradually based on their topological structures. Finally all distances among linked nodes will converge into a stable pattern, and communities can be intuitively identified. Thanks to the dynamic viewpoint of community detection, Attractor has several potential attractive properties: (a) Attractor provides an intuitive solution to analyze the community structure of a network, and faithfully captures the natural communities (with high quality). (b) Owing to its time complexity $O(|E|)$, Attractor allows finding communities on large networks. (c) The small communities or anomalies, usually existing in real-world networks, can be well pinpointed. (d) Attractor is easy to parameterize, since there is no need to specify the number of clusters. Extensive experiments on synthetic and real-world networks further demonstrate the effectiveness and efficiency of the proposed approach.
Further results on almost Moore digraphs

The nonexistence of digraphs with order equal to the Moore bound Md k d d k for d k has lead to the study of the problem of the existence of almost Moore digraphs namely digraphs with order close to the Moore bound In it was shown that almost Moore digraphs of order Md k degree d diameter k d k contain either no cycle of length k or exactly one such cycle In this paper we shall derive some further necessary conditions for the existence of almost Moore digraphs for degree and diameter greater than As a consequence for diameter and degree d d we show that there are no almost Moore digraphs of order Md with one vertex in a C except the digraphs with every vertex in C
Smart Card Adoption Model : Social and Ethical Perspectives

In the current growth of information technology (IT), without realizing, smart cards have been brought as an ideal device for any transaction such as transportation, healthcare, ecommerce, telecommunication, banking and many other applications. Smart card improved the quality of services in terms of security and customization for users. Recognition of aspects which affect on smart card usage is crucial for sophisticated consumer with respect to ethical action and reaction, where knowing the customers ethical and behavioral intention to employ smart cards should be the main part in any decisionmaking procedure. In this study, a short review on ethical scenarios are introduced to identify personal understanding of ethical circumstances by using smart cards and furthermore, an adoption model is developed from the ethical and social perspective based on previous acceptance models, ethical frameworks and ethical scenarios.
Histone phosphorylation in macro- and micronuclei of Tetrahymena thermophila.

The patterns of histone phosphorylation in amitotically dividing, transcriptionally active macronuclei and in mitotically dividing, transcriptionally inert micronuclei of the ciliated protozoan Tetrahymena thermophila have been analyzed. Taken together, the major phosphorylation events in these two nuclei and their dependence on cell growth and/or division are remarkably similar to those in mammalian cells. Phosphorylation of H1-type proteins occurs in both nuclei and is positively correlated with growth and/or division. Phosphorylation of histone H3 is also positively correlated with growth and/or division but occurs only in micronuclei. Phosphorylation of histone H2A is relatively independent of growth state and occurs largely, if not exclusively, in macronuclei. Given the unique partition of nuclear functions between macro- and micronuclei, these results, coupled with previously reported temporal correlations between specific histone phosphorylations and cell cycle events in mammalian cells [Gurley, L. R. , Tobey, R. A. , Walters, R. A. , Hildebrand, C. E. , Hohmann, P. G. , D'Anna, J. A. , Barham, S. S. , & Deaven, L. L. (1978a) in Cell Cycle Regulation (Jeter, J. R., Cameron, J. L., Padilla, G. M. & Zimmerman, A. M. Eds.) pp 37-60, Academic Press, New York], allow insights into the functions of histone phosphorylations. Specifically, a nonmitotic function for extensive H1 phosphorylation and a unique mitotic function for H3 phosphorylation are clearly indicated. A new role for H2A phosphorylation in the regulation of transcriptional activity is also proposed.
A web‐based method for building and simulating standard cell circuits—A classroom application

The characterization of standard cells (basic digital blocks) is an iterative and arduous process. Our web‐based tool enables the students/users to quickly perform a large number of characterization experiments. The tool is useful for various courses on micro/nano‐electronics and circuit design, and eliminates the need for costly CAD‐software/hardware. © 2014 Wiley Periodicals, Inc. Comput Appl Eng Educ 23:304–313, 2015; View this article online at wileyonlinelibrary.com/journal/cae; DOI 10.1002/cae.21600
An Effective Approach for Imbalanced Classification: Unevenly Balanced Bagging

Learning from imbalanced data is an important problem in data mining research. Much research has addressed the problem of imbalanced data by using sampling methods to generate an equally balanced training set to improve the performance of the prediction models, but it is unclear what ratio of class distribution is best for training a prediction model. Bagging is one of the most popular and effective ensemble learning methods for improving the performance of prediction models; however, there is a major drawback on extremely imbalanced data-sets. It is unclear under which conditions bagging is outperformed by other sampling schemes in terms of imbalanced classification. These issues motivate us to propose a novel approach, unevenly balanced bagging (UBagging) to boost the performance of the prediction model for imbalanced binary classification. Our experimental results demonstrate that UBagging is effective and statistically significantly superior to single learner decision trees J48 (SingleJ48), bagging, and equally balanced bagging (BBagging) on 32 imbalanced data-sets.
Classi(cid:2)er Fusion for Outdoor Obstacle Detection

(cid:151) This paper describes an approach for using several levels of data fusion in the domain of autonomous off-road navigation. We are focusing on outdoor obstacle detection, and we present techniques that leverage on data fusion and machine learning for increasing the reliability of obstacle detection systems. We are combining color and infrared (IR) imagery with range information from a laser range (cid:2)nder. We show that in addition to fusing data at the pixel level, performing high level classi(cid:2)er fusion is bene(cid:2)cial in our domain. Our general approach is to use machine learning techniques for automatically deriving effective models of the classes of interest (obstacle and non-obstacle for example). We train classi(cid:2)ers on different subsets of the features we extract from our sensor suite and show how different classi(cid:2)er fusion schemes can be applied for obtaining a multiple classi(cid:2)er system that is more robust than any of the classi(cid:2)ers presented as input. We present experimental results we obtained on data collected with both the eXperimental Unmanned Vehicle (XUV) and a CMU developed robotic tractor.
Messages on pregnancy and family planning that providers give women living with HIV in the context of a Positive Health, Dignity, and Prevention intervention in Mozambique

Background Family planning is an important HIV prevention tool for women living with HIV (WLHIV). In Mozambique, the prevalence of HIV among women of reproductive age is 13.1% and the average fertility rate is high. However, family planning and reproductive health for WLHIV are under-addressed in Mozambique. This study explores provider descriptions of reproductive health messages in order to identify possible barriers and facilitators to successfully addressing family planning and pregnancy concerns of WLHIV. Methods In 2006, a Positive Health, Dignity, and Prevention program was introduced in Mozambique focused on training health care providers to work with patients to reduce their transmission risks. Providers received training on multiple components, including family planning and prevention of mother-to-child transmission (PMTCT). In-depth interviews were conducted with 31 providers who participated in the training in five rural clinics in three provinces. Data were analyzed using qualitative content analysis. Results Analysis showed that providers’ clinical messages on family planning, pregnancy, and PMTCT for WLHIV could be arranged along a continuum. Provider statements ranged from saying that WLHIV should not become pregnant and condoms are the only valid form of family planning for WLHIV, to suggesting that WLHIV can have safe pregnancies. Conclusion These data indicate that many providers continue to believe that WLHIV should not have children and this represents a challenge for integrating family planning into the care of WLHIV. Also, not offering WLHIV a full selection of family planning methods severely limits their ability to protect themselves from unintended pregnancies and to fully exercise their reproductive rights. Responding to the reproductive health needs of WLHIV is a critical component in HIV prevention and could increase the success of PMTCT programs.
An Event Distribution Platform for Recommending Cultural Activities

Today, people have limited leisure time which they want to fill in according to their interests. At the same time, cultural organisations offer an enormous amount of activities via their websites. This scarcity of time and the abundance of cultural events reinforce the necessity of recommender systems that assist end-users in discovering events which they are likely to enjoy. However, traditional recommender systems can not cope with event-specific restrictions such as the availability, time and location of cultural activities. Moreover, aggregating the events, collecting consistent metadata, and enriching these metadata with cross-domain knowledge pose additional challenges for the conventional distribution and recommender systems. In this paper, we show how personalised recommendation, content-based filtering, and distribution of events can be enabled by the enrichment of events metadata via open linked data sets available on the web of data. For consistency across several events providers, we propose an event model using an RDF/OWL representation of the EventsML-G2 standard. Integrating these various functionalities as an extendable bus architecture provides an open, userfriendly event distribution platform that offers the end-user a tool to access useful event information that goes beyond basic information retrieval.
Signaling networks associated with BCR-ABL-dependent transformation.

BACKGROUND The fusion protein BCR-ABL results in constitutive tyrosine kinase activity. It also affects downstream targets as well as the subcellular location of the normally tightly regulated Abl tyrosine kinase. METHODS The authors review the current knowledge concerning the signaling networks associated with BCR-ABL-dependent transformation. RESULTS Although BCR-ABL is considered a single genetic change, the dysregulated tyrosine kinase activates a network of signals that contributes to cytokine-independent growth, resistance to apoptosis, and genetic instability. CONCLUSIONS The effectiveness of BCR-ABL-dependent transformation of hematopoietic stem cells is due not to a single pathway but rather to the culmination of a network of signaling pathways.
Cell Type-specific Signaling Function of RhoA GTPase: Lessons from Mouse Gene Targeting*

RhoA GTPase is a key intracellular regulator of actomyosin dynamics and other cell functions, including adhesion, proliferation, survival, and gene expression. Most of our knowledge of RhoA signaling function is from studies in immortalized cell lines utilizing inhibitors or dominant mutant overexpression, both of which are limited in terms of specificity, dosage, and clonal variation. Recent mouse gene targeting studies of rhoA and its regulators/effectors have revealed cell type-specific signaling mechanisms in the context of mammalian physiology. The new knowledge may present therapeutic opportunities for the rational targeting of RhoA signaling-mediated pathophysiologies.
Power electronics modeling fidelity: Impact on stability estimate of micro-grid systems

Stability analysis of AC and DC distributed power systems dominated by power electronics devices is a challenge for designers of connected or isolated micro-grids, due to the ideal conditions considered by the manufacturers; this should cause that the system reach an unstable state. This paper focuses in the analysis based on impedance representation of a single phase inverter operating as voltage source, where the Nyquist criteria is realized for a renewable energy micro-grid isolated configuration. Also, three small signal input impedance modeling methods are described, the first is the reduced order modeling methodology or steady state variables averaged model, the second is based on the assumption of no energy storage at the AC and DC side of the inverter, and the third uses an approximation of the impedance with current frequency components. For the three methods a comparative evaluation with the impedance obtained was realized by the application of a voltage perturbation to the DC side. The obtained results show that the proposed method of no energy storage can be employed in the studies of stability for micro grid systems.
Long‐term population‐based marriage rates among adult survivors of childhood cancer in Britain

The objectives of this study were to assess the number of adult survivors of childhood cancer who ever married and the factors influencing marriage, compare observed marriages to those expected from the general population, and assess age at marriage and influencing factors. The data is based on the British Childhood Cancer Survivor Study (BCCSS), which is a population‐based cohort of 18,119 individuals who were diagnosed with childhood cancer between 1940 and 91 and survived at least 5 years. Fourteen thousand five hundred thirty‐nine were alive, aged at least 16 years and eligible to receive a postal questionnaire, which ascertained marriage status. Thirty‐four percent of 9,954 survivors had married. Survivors with the following characteristics: males, CNS neoplasm, received radiotherapy, diagnosed with mental retardation, registered blind, low social functioning score (calculated from SF‐36 health status measure), and achieved the highest level of educational attainment, were less likely to have married than the complementary survivor groups. The deficits in the proportion ever married compared to the general population were mostly between 9 and 18% among males and 7–10% among females. The largest ever married deficits were among male CNS neoplasm survivors aged 30 years or over (29–38%). Age at first marriage among survivors was related to: sex, childhood cancer type, age at diagnosis, chemotherapy, radiotherapy, mental retardation, and level of educational attainment. Regular follow‐up for these survivors should address not just physical late‐effects of the childhood cancer and treatment, but also psychosocial needs throughout the lifespan of the survivors to help them achieve life events as they occur in the general population. © 2007 Wiley‐Liss, Inc.
Identification of a small cytoplasmic ankyrin (AnkG119) in the kidney and muscle that binds beta I sigma spectrin and associates with the Golgi apparatus

Ankyrins are a family of large, membrane-associated proteins that mediate the linkage of the cytoskeleton to a variety of membrane transport and receptor proteins. A repetitive 33-residue motif characteristic of domain I of ankyrin has also been identified in proteins involved with cell cycle control and development. We have cloned and characterized a novel ankyrin isoform, AnkG119 (GenBank accession No. U43965), from the human kidney which lacks part of this repetitive domain and associates in MDCK cells with beta I sigma spectrin and the Golgi apparatus, but not the plasma membrane. Sequence comparison reveals this ankyrin to be an alternative transcript of AnkG, a much larger ankyrin recently cloned from brain. AnkG119 has a predicted size of 119,201 D, and contains a 47-kD domain I consisting of 13 ankyrin repeat units, a 67-kD domain II with a highly conserved spectrin-binding motif, and a truncated 5-kD putative regulatory domain. An AnkG119 cDNA probe hybridized to a 6.0-kb message in human and rat kidney, placenta, and skeletal muscle. An antibody raised to AnkG119 recognized an apparent 116-kD peptide in rat kidney cortical tissue and MDCK cell lysates, and did not react with larger isoforms of ankyrin at 190 and 210 kD in these tissues, nor in bovine brain, nor with ankyrin from human erythrocytes. AnkG119 remains extractable in 0.5% Triton X-100, and assumes a punctuate cytoplasmic distribution in mature MDCK cells, in contrast to the Triton-stable plasma membrane localization of all previously described renal ankyrins. AnkG119 immunocreativity in subconfluent MDCK cells distributes with the Golgi complex in a pattern coincident with beta -COP and beta I sigma spectrin immunoreactivity. A fusion peptide containing residues 669-860 of AnkG119 interacts with beta I sigma 1 spectrin in vitro with a Kd = 4.2 +/- 4.0 ( +/- 2 SD) nM, and avidly binds the beta spectrin in MDCK cell lysates. Collectively, these data identify AnkG119 as a novel small ankyrin that binds and colocalizes with beta I sigma spectrin in the ER and Golgi apparatus, and possible on a subset of endosomes during the early stages of polarity development. We hypothesize that AnkG119 and beta I spectrin form a vesicular Golgi-associated membrane skeleton, promote the organization of protein microdomains within the Golgi and trans-Golgi networks, and contribute to polarized vesicle transport.
Corticocortical fiber connections of the rabbit visual cortex: A fiber degeneration study

Corticocortical fiber projections of the striate and occipital cortex of the rabbit, as defined by Rose ('31) have been determined by fiber degeneration methods following the production of cortical lesions within each of 24 rabbits. We have assumed that the striate and occipital cortices correspond respectively to the visual cortical areas 1 and 2 (V1 and V2) which have been demarcated electrophysiologically by Thornpson et al. ('50).
Partition testing with dynamic partitioning

A new partition testing strategy that adopts dynamic partitioning is proposed in this paper. By dynamic partitioning it is meant that the test suite or the input domain of the software under test is partitioned into several subdomains whose members are dynamically adjusted during testing by using feedback information such as the testing data collected on-line. Two controlled software experiments show that the new strategy can significantly outperform the purely random testing strategy in particular, and the random-partition testing strategy in general.
PA.11 A controlled study of quality of life in young people with Tourette syndrome

Aims Quality of life (QoL) may be adversely affected by Tourette syndrome (TS). Although the core symptoms of this complex neurodevelopmental disorder are tics, patients often present with an array of behavioural difficulties, such as co-morbid obsessive compulsive disorder (OCD) or attention deficit hyperactivity disorder (ADHD). We investigated whether young people with TS exhibited poorer QoL in comparison to healthy individuals and an epilepsy control group. We also analysed the impact of co-morbid OCD and\or ADHD on perceived QoL. Methods Participants comprised a total of 202 young people (138 male), aged 10–17 years (mean 12.91, SD 1.86) forming three groups: 50 young people with TS (44 males; mean age 13.26 years; SD 2.32); 50 controls with epilepsy (26 males; mean age 12.16 years; SD 1.39 years), and 102 neurologically intact healthy controls (68 males; mean age 13.11 years; SD 1.71 years). The Youth Quality of Life Instrument-Research Version (Edwards et al, 2002) was used to assess QoL and a range of clinical scales were administered to assess anxiety, depression and other behavioural symptoms. Results TS was associated with significant differences in aspects of QoL related to home and social activities, involving peer and family interaction. Patients with more severe tics reported a greater negative impact on QoL. Patients with TS and no associated diagnoses (“pure TS”) presented with lower QoL scores in the environment domain, poorer perceived QoL in general, and depressive features. Co-morbid OCD appeared to exert a greater impact on self and relationship QoL domains. The presence of both OCD and ADHD as co-morbidities led to more widespread problems. Conclusions TS can be associated with poorer perceived QoL. Although social aspects of QoL may be more vulnerable to TS in general, co-morbid conditions make an important contribution in determining which aspects of QoL are most affected in the individual.