Miracle-dz/UniFAR-FTUs huggingface dataset:
Magnitude of exercise capacity and quality of life improvement following repeat pulmonary rehabilitation in patients with COPD

Background Maintenance and repeated pulmonary rehabilitation programs (PRPs) for patients with COPD have attempted to prolong PRP benefits beyond 12–24 months. However, there is limited evidence as to the magnitude of benefit or the ideal interval between repeating the program under “real-world” conditions in which patients are referred based on clinical necessity. Therefore, we reviewed the effects of repeating PRP in a physician-referred cohort of patients with COPD. Methods A total of 141 individuals with COPD completed PRP twice and 35 completed PRP three times over a 12-year period. We used linear mixed-effects models to quantify the magnitude and change in 6-minute walk distance (6MWD), St George’s Respiratory Questionnaire (SGRQ), and Hospital Anxiety and Depression Scale (HADS) for each PRP. One-way analysis of variance with Tukey’s post hoc analysis compared the effects of different time intervals on 6MWD, SGRQ, and HADS between PRPs. Results Despite 39 mL/year average decrease in forced expiratory volume in 1 second, overall 6MWD improved following each PRP (PRP1=58 m, P<0.0001; PRP2=42 m, P<0.0001; PRP3=32 m, P<0.003). Mean SGRQ decreased after PRP1 (−7.0 units; P<0.001) and PRP2 (−4.9 units; P<0.0001) but not after PRP3 (−3.2 units; P=0.10). HADS decreased after PRP1 (−1.9 units; P<0.0001) and PRP2 (−1.7 units; P=0.0001) but not after PRP3 (−0.4 units; P=0.63). Conclusion In physician-referred patients who underwent repeat PRP as clinically required, there were clear benefits in functional exercise capacity following each repeat PRP, which was not affected by the time interval between PRPs. Health-related quality of life and mood improved after the first two PRPs, but not after a third.
Expression of HIF-1α and Markers of Angiogenesis Are Not Significantly Different in Triple Negative Breast Cancer Compared to Other Breast Cancer Molecular Subtypes: Implications for Future Therapy

Introduction Triple negative breast cancer lacks estrogen, progesterone and epidermal growth factor receptors rendering it refractory to available targetedtherapies. TNBC is associated with central fibrosis and necrosis, both indicators of tumor hypoxia. Hypoxia inducible factor 1α is up-regulated under hypoxia and its expression is associated with induction of angiogenesis resulting in proliferation, aggressive tumor phenotype and metastasis. In this study we evaluate the potential use of HIF-1α as aTNBC-specific marker. Methods 62 TNBC, 64 HER2+, and 64 hormone-receptors positive breast cancer cases were evaluated for central fibrosis and necrosis, HIF-1α, HIF-1β, VEGFR3, CD31 expression and microvessel density. RNA extraction from paraffin-embedded samples, followed by quantitative real-time polymerase chain reaction (qRT-PCR) evaluation of HIF-1α and VEGF transcripts was performed on 54 cases (18 from each subtype). Results HIF-1α protein was expressed in 35.5% TNBC, 45.3% HER2+and 25.0% ER+/PR+ (p = 0.055; χ2 test). PCRanalysis of subgroup of breast cancers, 84.2% expressed HIF-1α protein and its transcripts, while only 66.7% expressed VEGF transcripts simultaneously with the HIF-1α protein and its transcripts. Central fibrosis and necrosis was highest in TNBC (p = 0.015; χ2 test), while MVD was comparable among all groups (p = 0.928; χ2 test). VEGFR3 was highest in TNBC expressing HIF-1α. HIF-1β protein was expressed in 32.0% of HIF-1α(+), and in (44.3%) of HIF-1α(-) breast cancer cases (p = 0.033; χ2 test). Moreover, HIF-1α expression in cases with central fibrosis and necrosis was highest in the HER2+ followed by the TNBC (p = 0.156; χ2 test). Conclusions A proportion of TNBC express HIF-1α but not in a significantly different manner from other breast cancer subtypes. The potential of anti-HIF-1α targeted therapy is therefore not a candidate for exclusive use in TNBC, but should be considered in all breast cancers, especially in the setting of clinically aggressive or refractory disease.
A Versatile Event-Driven Data Model in HBase Database for Multi-source Data of Power Grid

As a column-oriented, distributed and high fault-tolerant database, HBase is gradually adopted by manufactory industry due to its huge capacity, fast random read and bulk processing performance. Power grid usually generates huge amount of data from multi-sources with hundreds of complicated data types. However, JOIN operation performance is low in HBase since it was not designed to serve relational queries as classic relational database. How to store the data to ensure a sufficient performance of JOIN operation and random read is the critical problem that must to be solved in HBase applications. In this paper, we proposed an event-driven HBase data model to resolve this problem. In our data model, each record of data is defined as a unique event that happened in power grid. Any type of data from any data sources can be distinguished in database. Therefore our data model can store multi-source data generated by power grid devices. In addition, JOIN operation is integrated in our data model, which improves the performance of reading data from multiple data sources. This is realized by designing a specific RowKey in tables. We also proposed a schema including a novel Virtual ColumnFamily, which resolves the compatibility problem of storing data from multi-sources. Virtual ColumnFamily is realized by designing specific qualifiers. To verify the effectiveness of our data model, we conducted empirical experiments on a Hadoop platform to compare our optimized schema and original schema. Experimental results showed that our data model ensures that our optimized schema performs better than the original schema based on original data model.
Influence of wood moisture content on modulus of elasticity on tension paralllel to the grain of brasilian species

Periodically, when necessary, standard documents are revised in order to analyze inconsistencies and to include considerations according new realities verified. In this sense, aiming to quantify the wood moisture content influence on modulus of elasticity, it was applied tension tests parallel to the grain for six specimens of different strength classes of wood, considering nominal moisture of 12, 20, 25, and 30% in Brazil. The present paper examine the adequacy of the current Brazilian standard ABNT NBR7190:1997, in review, about the adoption of a first degree equation to describe the influence of wood moisture content for timber structures design. It was obtained a new first degree equation which leads to statically equivalent estimations when compared with results by ABNT NBR7190:1997 equation. However, as recommendations it could be maintain the current expression European International Journal of Science and Technology Vol. 1 No. 2 12 for the next text of the referred document review, without prejudice to statistical significance of the estimates.
A framework of Urdu topic modeling using latent dirichlet allocation (LDA)

In this age, text mining research community has given an immense attention towards the development of text mining tools, techniques and models. Topic modeling is an area of Text Mining which is being used in various areas e.g. summarization, searching, semantics, and many other. Topic Modeling is used to uncover the hidden topics from large collection of documents or text. It is also equally important for many other interesting research areas like Natural Language Processing (NLP), Machine Learning (ML), statistics etc. In order to fulfill the goal of topic model, a lot of models have been proposed, in literature, for variety of languages such as English and Arabic etc. All of the models differ in their various nature, theories, and implementation strategies as all languages has their own morphological structure, semantics and syntax. The motivation behind this work is that there is no such work is available for Urdu language to extract topics from documents. Although some standard Topic Models has been proposed such as Latent Dirichlet Allocation (LDA), there is still a need of development of comprehensive model to cater Topic Model specific for Urdu text. In this research, we have proposed an effective topic model for Urdu language to cope with the challenges of Urdu morphological structure. The proposed Topic Model for Urdu is a framework that combine pre-processing techniques, LDA model and Gibbs sampling. This proposed Topic Model for Urdu used the standard LDA model therefore we named it Urdu Latent Dirichlet Allocation (ULDA). Experiments are conducted to show the efficacy of our proposed approach as compared to the competitors. The experimental results show the dominance of our proposed ULDA model as compared to existing systems. The work is being carried out for the first time in Urdu language.
How Relevant and Useful Is the Cochrane Library as a Resource for Evidence in Burn Care, Practice, and Management?

The Cochrane Library, in particular, the Cochrane Database of Systematic Reviews (CDSR), is a compilation of reviews that have collated and assessed all the available clinical research on a particular topic into a summary about its safety and effectiveness. We conducted a study of the CDSR to evaluate the relevance of this database to burns care. Using prespecified criteria, two reviewers independently screened 4041 titles from Issue 3, 2005, of CDSR for possible relevance to burns care. Agreement regarding relevance to was resolved by discussion. Screening of the 4041 titles identified 78 titles as being potentially (unclear) or clearly (clear and directly related) relevant to burns care. Independent scoring of the 78 titles indicated that 9 were directly relevant to burns care and 28 were indirectly relevant to burns care. The remaining 43 reviews were deemed not relevant. The majority of relevant titles in the CDSR were produced by three Cochrane Review Groups. These included five reviews from Injuries, three from Wounds, and one from Pain, Palliative and Supportive Care. In summary, approximately 37, or just less than 1%, of the CDSR, Issue 3, 2005, completed reviews or protocols had some relevance to burns care and management. Increased burn clinician involvement in the Cochrane Library would help to increase the number of reviews conducted on questions relevant to burns care and would enhance the value of this evidence based medicine resource.
Effects of Kinesio taping on joint position sense of the ankle

[Purpose] The purpose of this study was to examine the effect of Kinesio taping on the joint position sense of the ankle. [Subjects and Methods] The subjects of this study were 26 nomal adults who had experienced ankle sprain. Kinesio taping was applied over the ankle medial ligament and ankle lateral ligament with eight pattern reinforcement taping. Joint position sense was measured using isokinetic equipment (Biodex System 4 pro dynamometer, Biodex Medical systems Inc., USA) during dorsiflexion/plantarflexion and inversion/eversion, before and after taping. Statistical analyses were performed using SPSS 21.0 for Windows. [Results] Joint position sense after Kinesio taping was improved in the dorsiflexion and inversion positions. [Conclusion] According to the results of this study, Kinesio taping of the ankle is effective for the prevention of ankle sprain.
A Mediterranean-style dietary intervention supplemented with fish oil improves diet quality and mental health in people with depression: A randomized controlled trial (HELFIMED)

Objectives: We investigated whether a Mediterranean-style diet (MedDiet) supplemented with fish oil can improve mental health in adults suffering depression. Methods: Adults with self-reported depression were randomized to receive fortnightly food hampers and MedDiet cooking workshops for 3 months and fish oil supplements for 6 months, or attend social groups fortnightly for 3 months. Assessments at baseline, 3 and 6 months included mental health, quality of life (QoL) and dietary questionnaires, and blood samples for erythrocyte fatty acid analysis. Results: n = 152 eligible adults aged 18–65 were recruited (n = 95 completed 3-month and n = 85 completed 6-month assessments). At 3 months, the MedDiet group had a higher MedDiet score (t = 3.95, P < 0.01), consumed more vegetables (t = 3.95, P < 0.01), fruit (t = 2.10, P = 0.04), nuts (t = 2.29, P = 0.02), legumes (t = 2.41, P = 0.02) wholegrains (t = 2.63, P = 0.01), and vegetable diversity (t = 3.27, P < 0.01); less unhealthy snacks (t = −2.10, P = 0.04) and red meat/chicken (t = −2.13, P = 0.04). The MedDiet group had greater reduction in depression (t = −2.24, P = 0.03) and improved mental health QoL scores (t = 2.10, P = 0.04) at 3 months. Improved diet and mental health were sustained at 6 months. Reduced depression was correlated with an increased MedDiet score (r = −0.298, P = 0.01), nuts (r = −0.264, P = 0.01), and vegetable diversity (r = −0.303, P = 0.01). Other mental health improvements had similar correlations, most notably for increased vegetable diversity and legumes. There were some correlations between increased omega-3, decreased omega-6 and improved mental health. Discussion: This is one of the first randomized controlled trials to show that healthy dietary changes are achievable and, supplemented with fish oil, can improve mental health in people with depression.
Mothers, Play and Everyday Life: Ethnology Meets Game Studies

This article should serve as an introduction to a relatively new topic in ethnological studies requiring very specific methods as it involves both offline and online research as well as material objects and immaterial practices. How do we embark on an interdisciplinary venture such as this, and be sure to produce qualitative research of high standard? How should gaming mothers best be studied? In what follows we try to answer that question. We also assume that not all of our readers are extensively familiar with games and game culture or have engaged with computer games first-hand or as scientific object of study. We thus begin with a short assessment of its current status as a growing genre, whose image is changing as gamers and game culture become increasingly diversified. We also briefly situate games as an academic subject and outline some of the central concepts focused in the fieldii called Game Studies. Furthermore, understanding the ideological underpinnings of play is vital to understanding the contexts in which games and gaming exist because they constitute some of the fundamental conditions of games research. To explain this, we relate the ambiguous status of game/play to the usage of the term ―the magic circle‖ and of historically ingrained rhetorics [sic] of play. In our survey of the theoretical land, we notice an increasing attention among games researchers to players in addition to the games themselves. We thus assert that ethnologists have a particular methodological edge and a role to fulfill as games research more and more means studying games in relation to gamers, society and political economy and not only the game itself. As part of a huge industry that is a significant economic driver, games take center stage on a global sociocultural and capital market. Educational programs and cross-disciplinary efforts centered on games and gaming grow steadily. Introducing our research project ―Gaming Moms‖ we explain why it is interesting – and now possible and highly apposite – to study gaming from the perspective of culture, the family and the everyday. We give our rendition of how to best study a particular category of players such as mothers and why a marriage between ethnology and the interdisciplinary field of Game Studies is necessary and useful. In doing so, we give specific examples from our ongoing project thus presenting a selection of the various methods we apply in our research. Our examples are chosen around two themes – gaming and time management and representations of mothers in the context of gaming. We conclude with a brief discussion of our findings, having thus proposed an answer to our methodological question, and outline some missing perspectives and future challenges. (Less)
Prediction of novel families of enzymes involved in oxidative and other complex modifications of bases in nucleic acids

Modified bases in nucleic acids present a layer of information that directs biological function over and beyond the coding capacity of the conventional bases. While a large number of modified bases have been identified, many of the enzymes generating them still remain to be discovered. Recently, members of the 2-oxoglutarate- and iron(II)-dependent dioxygenase superfamily, which modify diverse substrates from small molecules to biopolymers, were predicted and subsequently confirmed to catalyze oxidative modification of bases in nucleic acids. Of these, two distinct families, namely the AlkB and the kinetoplastid base J binding proteins (JBP) catalyze in situ hydroxylation of bases in nucleic acids. Using sensitive computational analysis of sequences, structures and contextual information from genomic structure and protein domain architectures, we report five distinct families of 2-oxoglutarate- and iron(II)-dependent dioxygenase that we predict to be involved in nucleic acid modifications. Among the DNA-modifying families, we show that the dioxygenase domains of the kinetoplastid base J-binding proteins belong to a larger family that includes the Tet proteins, prototyped by the human oncogene Tet1, and proteins from basidiomycete fungi, chlorophyte algae, heterolobosean amoeboflagellates and bacteriophages. We present evidence that some of these proteins are likely to be involved in oxidative modification of the 5-methyl group of cytosine leading to the formation of 5-hydroxymethylcytosine. The Tet/JBP homologs from basidiomycete fungi such as Laccaria and Coprinopsis show large lineage-specific expansions and a tight linkage with genes encoding a novel and distinct family of predicted transposases, and a member of the Maelstrom-like HMG family. We propose that these fungal members are part of a mobile transposon. To the best of our knowledge, this is the first report of a eukaryotic transposable element that encodes its own DNA-modification enzyme with a potential regulatory role. Through a wider analysis of other poorly characterized DNA-modifying enzymes we also show that the phage Mu Mom-like proteins, which catalyze the N6-carbamoylmethylation of adenines, are also linked to diverse families of bacterial transposases, suggesting that DNA modification by transposable elements might have a more general presence than previously appreciated. Among the other families of 2-oxoglutarate- and iron(II)-dependent dioxygenases identified in this study, one which is found in algae, is predicted to mainly comprise of RNA-modifying enzymes and shows a striking diversity in protein domain architectures suggesting the presence of RNA modifications with possibly unique adaptive roles. The results presented here are likely to provide the means for future investigation of unexpected epigenetic modifications, such as hydroxymethyl cytosine, that could profoundly impact our understanding of gene regulation and processes such as DNA demethylation.
The Battle of Technologies or the Battle of Business Models? [Connected Vehicles]

There has been heated debate about the 5.9-GHz frequency band dedicated to cooperative intelligent transportation systems (C-ITSs) [1]. Spectrum is limited, and the free bands at 2.45 GHz are becoming crowded. Because of this, operators in the European Union seek access to the band for fifth generation (5G), while, in the United States. Wi-Fi wants access to the band. However, 5G is not yet fully defined, implying that it may or may not include Wi-Fi. The C-ITS technology, termed dedicated short-range communications (DSRC) in the United States and ITSG5 in Europe, is standardized but not deployed.
A 60-GHz low-profile, wide-band, and high-gain E-shaped patch array with parasitic patches

This paper presents a 60-GHz low-profile, wide-band, and high-gain E-shaped patch array with parasitic patches for 60-GHz band. To enhance the bandwidth with low-profile single layer structure, E-shaped patch antenna is applied to form a two resonance frequencies. To increase the antenna gain, parasitic patches are adopted to E-shaped patch array for additional radiation of the antenna array. The height of the antenna is 250um, and the realized gain, 3-dB bandwidth, and impedance bandwidth is 20.2dBi, 20.2%, and 23.7%, respectively.
Learning Graphical Models from a Distributed Stream

A current challenge for data management systems is to support the construction and maintenance of machine learning models over data that is large, multi-dimensional, and evolving. While systems that could support these tasks are emerging, the need to scale to distributed, streaming data requires new models and algorithms. In this setting, as well as computational scalability and model accuracy, we also need to minimize the amount of communication between distributed processors, which is the chief component of latency. We study Bayesian Networks, the workhorse of graphical models, and present a communication-efficient method for continuously learning and maintaining a Bayesian network model over data that is arriving as a distributed stream partitioned across multiple processors. We show a strategy for maintaining model parameters that leads to an exponential reduction in communication when compared with baseline approaches to maintain the exact MLE (maximum likelihood estimation). Meanwhile, our strategy provides similar prediction errors for the target distribution and for classification tasks.
Understanding Chinese consumer engagement in social commerce: The roles of social support and swift guanxi

Purpose Building on the Chinese guanxi perspective, the purpose of this paper is to develop a theoretical model that explains the indirect effects of social support from friends on social commerce intentions, as mediated through the relational aspects that potential buyers develop with sellers. Design/methodology/approach Hypotheses are tested with partial least squares (PLS)-graph applied to data collected via a survey of social media users (n=511). SPSS and PLS-graph are the statistical analysis tools used in this study. Findings Relationship exists in social commerce interactions and its quality can be captured by swift guanxi and trust. These swift relationships matter as they drive users’ behavioral intentions on social commerce sites. The informational and social support people receive from friends helps in improving the relationship quality and can indirectly influence user behaviors on these sites. Research limitations/implications This study has relied on a convenient sampling and this may limit the generalizability of the findings. Future research should employ broader and more random sampling techniques to re-validate and extend the findings. Originality/value The interpersonal aspect of relationship quality has received little attention in the social commerce literature. This study develops a theoretical model that explains consumers’ intention in social commerce. The findings reveal the mechanisms through which different types of social support indirectly influence social commerce intentions. They provide a unique glimpse into consumer behavior in Chinese settings, in which the guanxi aspect of relationship quality highly matters.
Spectrum sensing based on channel holding time

In cognitive radio, spectrum sensing methods play a vital role in the process of detecting spectrum holes for the secondary users. In this paper, a spectrum sensing based on channel holding time is proposed. We use the temporal characteristics of the primary user to examine the detection effectiveness, maximize the secondary user throughput and save energy. It is found that by optimizing sensing time the secondary user throughput can be increased under a given probability of detection, different holding time, signal to noise ratio and false alarm probability. Optimization of the sensing time is done using the human behavior based particle swarm optimization (HBPSO).