nils-herrmann/clean_scirepeval huggingface dataset:
Can sliding window correlations reveal dynamic functional connectivity in resting state fMRI?
Venue: NeuroImage

During the last several years, the focus of research on resting state functional magnetic resonance imaging (fMRI) has shifted from the analysis of functional connectivity averaged over the duration of scanning sessions to the analysis of changes of functional connectivity within sessions. Although several studies have reported the presence of dynamic functional connectivity (dFC) statistical assessment of the results is not always carried out in a sound way and, in some studies, is even omitted. In this study, we explain why appropriate statistical tests are needed to detect dFC, we describe how they can be carried out and how to assess the performance of dFC measures, and we illustrate the methodology using spontaneous blood oxygen level dependent (BOLD) fMRI recordings of macaque monkeys under general anesthesia and in human subjects under resting state conditions. We mainly focus on sliding window correlations since these are most widely used in assessing dFC, but also consider a recently proposed non linear measure. The simulations and methodology, however, are general and can be applied to any measure. The results are twofold. First, through simulations, we show that in typical resting state sessions of 10 min, it is almost impossible to detect dFC using sliding window correlations. This prediction is validated by both the macaque and the human data: in none of the individual recording sessions was evidence for dFC found. Second, detection power can be considerably increased by session or subject averaging of the measures. In doing so, we found that most of the functional connections are in fact dynamic. With this study, we hope to raise awareness of the statistical pitfalls in the assessment of dFC and how they can be avoided by using appropriate statistical methods.
Interpreting Survey Questions About Sexual Aggression in Cross Cultural Research: A Qualitative Study with Young Adults from Nine European Countries

Examining equivalence in the interpretation of survey items on sexual assault by participants from different cultures is an important step toward building a valid international knowledge base about the prevalence of sexual aggression among young adults. Referring to the theoretical framework of contextualism, this study presents qualitative data from semi structured interviews with 128 young adults from nine EU countries on their understanding of survey items from the Sexual Aggression and Victimization Scale (SAV S) The measure had previously been used to collect quantitative data on the prevalence of sexual aggression perpetration and victimization in the same countries that had yielded substantial differences in the rates of victimization and perpetration between countries. Based on the methodological approach of a mixed research design, the current study was conducted as a follow up to the quantitative study with a new sample to explore whether systematic differences in the interpretation of the survey items in the different countries might explain part of the variation in prevalence rates. The interviews showed that participants from the nine countries interpreted the items of the SAV S in a similar way and as intended by the authors of the scale. Systematic differences between men and women in interpreting the survey items were revealed. Implications of the findings for conducting survey research on sexual aggression across cultures are discussed.
Illness As Metaphor And Aids And Its Metaphors

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Black Holes and White Rabbits: Metaphor Identification with Visual Features
Venue: NAACL

Metaphor is pervasive in our communication, which makes it an important problem for natural language processing (NLP) Numerous approaches to metaphor processing have thus been proposed, all of which relied on linguistic features and textual data to construct their models. Human metaphor comprehension is, however, known to rely on both our linguistic and perceptual experience, and vision can play a particularly important role when metaphorically projecting imagery across domains. In this paper, we present the first metaphor identification method that simultaneously draws knowledge from linguistic and visual data. Our results demonstrate that it outperforms linguistic and visual models in isolation, as well as being competitive with the best performing metaphor identification methods, that rely on hand crafted knowledge about domains and perception.
Pictorial Metaphor In Advertising

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Infrared and visible image fusion via gradient transfer and total variation minimization
Venue: Inf. Fusion

We propose a new IR/visible fusion method based on gradient transfer and TV minimization.It can keep both the thermal radiation and the appearance information in the source images.We generalize the proposed method to fuse image pairs without pre registration.Our fusion results look like sharpened IR images with highlighted target and abundant textures.To the best of our knowledge, the proposed fusion strategy has not yet been studied. In image fusion, the most desirable information is obtained from multiple images of the same scene and merged to generate a composite image. This resulting new image is more appropriate for human visual perception and further image processing tasks. Existing methods typically use the same representations and extract the similar characteristics for different source images during the fusion process. However, it may not be appropriate for infrared and visible images, as the thermal radiation in infrared images and the appearance in visible images are manifestations of two different phenomena. To keep the thermal radiation and appearance information simultaneously, in this paper we propose a novel fusion algorithm, named Gradient Transfer Fusion (GTF) based on gradient transfer and total variation (TV) minimization. We formulate the fusion problem as an ?1 TV minimization problem, where the data fidelity term keeps the main intensity distribution in the infrared image, and the regularization term preserves the gradient variation in the visible image. We also generalize the formulation to fuse image pairs without pre registration, which greatly enhances its applicability as high precision registration is very challenging for multi sensor data. The qualitative and quantitative comparisons with eight state of the art methods on publicly available databases demonstrate the advantages of GTF, where our results look like sharpened infrared images with more appearance details.
[Evaluation of Antihypertensive Efficacy and Patient Adherence to Treatment With the New Formulation Perindopril Arginine (Orally Disintegrating Tablet) in General Clinical Practice: OPTIMUM Program]
Venue: Kardiologiia

The purpose of this study was to evaluate the antihypertensive efficacy of perindopril arginine in the oral dispersible form of tablets, in clinical practice.  Post marketing observational open program OPTIMUM was carried out from october 2014 to march 2015 year in 48 cities of the Russian Federation, 197 doctors. The observation included 957 patients. Prematurely retired from the study 17patients completed the observation in accordance with the protocol of 940 people.  Of the patients included men was 40.8% 28.1% smokers obese patients were 32.2% cholesterol >5.0 mmol/l 54.1% diabetes 13.3% Angina was at 19.5% of patients had previous myocardial infarction, 5.3% 3.7% of stroke, heart failure, was at 26.5% Previously treated with 16% of patients 53% had received monotherapy 2 koponentnuyu 35% 3 component therapy and more 13% of patients. Angiotensin converting enzyme obtained 50.9% of the patients, 20.2% Sartana, diuretics 22.9% blockers 25.8% calcium antagonists 13.6% other drugs 2.2% With the inclusion in the program every fifth patient had BP Stage I level and included patients had hypertension II degree. The mean duration of disease was 7.0+ 6.2 years (median 5 years) When replacing the previously used ACE inhibitors or sartans on mouth dispersible form of perindopril arginine BP decreased from 140,9+ 12.7/84.2+ 7.6 to 127.0+ 8.4/78.1+ 5.8 mm Hg. Target BP <140/90 mm Hg 91.4% of patients reached after 3 months of treatment. Adherence to the treatment of patients improved significantly and the total score increased from an average of 2.76+ 1.25 to 3.57+ 0.89 points (p<0.00001) When filling out a special questionnaire >2/3 of patients agreed or strongly agreed with the statements that orodispersible form is more easy to use, dissolves quickly and easily swallowed, is more convenient for the reception is at home or traveling.  It can be expected that the extension of the possibility of using perindopril arginine, including through the appointment of a new form for the reception, can lead to increased adherence to treatment, improve blood pressure control and reduce the incidence of adverse events in patients with hypertension.
Is the World Local or Nonlocal? Towards an Emergent Quantum Mechanics in the 21(st) Century

What defines an emergent quantum mechanics (EmQM) Can new insight be advanced into the nature of quantum nonlocality by seeking new links between quantum and emergent phenomena as described by self organization, complexity, or emergence theory? Could the development of a future EmQM lead to a unified, relational image of the cosmos? One key motivation for adopting the concept of emergence in relation to quantum theory concerns the persistent failure in standard physics to unify the two pillars in the foundations of physics: quantum theory and general relativity theory (GRT) The total contradiction in the foundational, metaphysical assumptions that define orthodox quantum theory versus GRT might render inter theoretic unification impossible. On the one hand, indeterminism and non causality define orthodox quantum mechanics, and, on the other hand, GRT is governed by causality and determinism. How could these two metaphysically contradictory theories ever be reconciled? The present work argues that metaphysical contradiction necessarily implies physical contradiction. The contradictions are essentially responsible also for the measurement problem in quantum mechanics. A common foundation may be needed for overcoming the contradictions between the two foundational theories. The concept of emergence, and the development of an EmQM, might help advance a common foundation physical and metaphysical as required for successfull inter theory unification.
The customer adoption of mobile banking from an interaction perspective
Venue: 2016 International Conference on Data and Software Engineering (ICoDSE)

Internet has been accelerating technology development in many sectors, including bank industry. Mobile banking is the latest banking channel that offers many advantages for banks and their customers. Despite the advantages it offers, many banks face the problem of low mobile banking adoption, particularly in Indonesia. Many Indonesian banks face the problem of low mobile banking adoption. A study on what makes customers fully accept mobile banking can help banks develop effective strategies to increase the adoption. This paper examines customer adoption of mobile banking from an interaction perspective. Based on this perspective, mobile banking adoption is studied by examining the interactions among elements involved in the system. Interaction among system elements may create new characteristics; therefore it is necessary to analyze these interactions to have richer understanding on the adoption behavior. Based on literature review, a framework and model for mobile banking adoption from an interaction perspective were developed. The model was developed by adopting several theories, including usability, technology adoption model, diffusion of innovations, perceived characteristics of innovating, flow theory, trust and social influence.
Practical Action Research For Change

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Action research healthcare
Venue: Healthcare management forum

We discuss action research healthcare as a transformative approach that continuously innovates in healthcare, attending to the "quadruple" aim. This article is shaped around a decade of evidence in Sweden. At the heart of healthcare action research is the endeavour to "learn by doing" with the participation of key stakeholders, including the patient. Experience suggests that an action research approach is particularly relevant when treating patients with chronic diseases and complex care needs. This inclusion is itself a social learning process and is key to realizing the improved outcomes. Insights from objective quantitative studies are balanced with personal and inter subjective dialogue that aligns different parts of a system in a movement towards improvement. Close up non defensive self inquiry in the company of colleagues, with trust dynamics building over time, may be a key point of leverage for such systemic improvement activities.
The Relative Abundance and Transcriptional Activity of Marine Sponge Associated Microorganisms Emphasizing Groups Involved in Sulfur Cycle
Venue: Microbial Ecology

During the last decades, our knowledge about the activity of sponge associated microorganisms and their contribution to biogeochemical cycling has gradually increased. Functional groups involved in carbon and nitrogen metabolism are well documented, whereas knowledge about microorganisms involved in the sulfur cycle is still limited. Both sulfate reduction and sulfide oxidation has been detected in the cold water sponge Geodia barretti from Korsfjord in Norway, and with specimens from this site, the present study aims to identify extant versus active sponge associated microbiota with focus on sulfur metabolism. Comparative analysis of small subunit ribosomal RNA (16S rRNA) gene (DNA) and transcript (complementary DNA (cDNA) libraries revealed profound differences. The transcript library was predominated by Chloroflexi despite their low abundance in the gene library. An opposite result was found for Acidobacteria. Proteobacteria were detected in both libraries with representatives of the Alpha and Gammaproteobacteria related to clades with presumably thiotrophic bacteria from sponges and other marine invertebrates. Sequences that clustered with sponge associated Deltaproteobacteria were remotely related to cultivated sulfate reducing bacteria. The microbes involved in sulfur cycling were identified by the functional gene aprA (adenosine 5' phosphosulfate reductase) and its transcript. Of the aprA sequences (DNA and cDNA) 87 affiliated with sulfur oxidizing bacteria. They clustered with Alphaproteobacteria and with clades of deep branching Gammaproteobacteria. The remaining sequences clustered with sulfate reducing Archaea of the phylum Euryarchaeota. These results indicate an active role of yet uncharacterized Bacteria and Archaea in the sponge's sulfur cycle.
Hypericin in the Light and in the Dark: Two Sides of the Same Coin
Venue: Front. Plant Sci.

Hypericin (4,5,7,4',5',7' hexahydroxy 2,2' dimethylnaphtodianthrone) is a naturally occurring chromophore found in some species of the genus Hypericum, especially Hypericum perforatum L. (St. John's wort) and in some basidiomycetes (Dermocybe spp. or endophytic fungi (Thielavia subthermophila) In recent decades, hypericin has been intensively studied for its broad pharmacological spectrum. Among its antidepressant and light dependent antiviral actions, hypericin is a powerful natural photosensitizer that is applicable in the photodynamic therapy (PDT) of various oncological diseases. As the accumulation of hypericin is significantly higher in neoplastic tissue than in normal tissue, it can be used in photodynamic diagnosis (PDD) as an effective fluorescence marker for tumor detection and visualization. In addition, light activated hypericin acts as a strong pro oxidant agent with antineoplastic and antiangiogenic properties, since it effectively induces the apoptosis, necrosis or autophagy of cancer cells. Moreover, a strong affinity of hypericin for necrotic tissue was discovered. Thus, hypericin and its radiolabeled derivatives have been recently investigated as potential biomarkers for the non invasive targeting of tissue necrosis in numerous disorders, including solid tumors. On the other hand, several light independent actions of hypericin have also been described, even though its effects in the dark have not been studied as intensively as those of photoactivated hypericin. Various experimental studies have revealed no cytotoxicity of hypericin in the dark; however, it can serve as a potential antimetastatic and antiangiogenic agent. On the contrary, hypericin can induce the expression of some ABC transporters, which are often associated with the multidrug resistance (MDR) of cancer cells. Moreover, the hypericin mediated attenuation of the cytotoxicity of some chemotherapeutics was revealed. Therefore, hypericin might represent another St. John's wort metabolite that is potentially responsible for negative herb drug interactions. The main aim of this review is to summarize the benefits of photoactivated and non activated hypericin, mainly in preclinical and clinical applications, and to uncover the "dark side" of this secondary metabolite, focusing on MDR mechanisms.
Financial System Risk Tolerance Capacity and Economic Growth: Evidence from a Cross country Analysis

This article develops a new indicator of financial system risk tolerance capacity to see how the financial risk management function mechanism reacts to economic growth by applying a system generalized method of moments estimation technique. Based on a sample of 49 countries for the period 1998 2011, we find that both bank and stock market risk tolerance capacity can significantly promote long run economic growth through absorbing and bearing real economic risks. These findings indicate that financial system risk tolerance capacity, which provides a powerful trial and error system, has a positive effect on long term growth. Therefore, the policy implication is that releasing controllable financial risks actively and moderately beforehand may support scientific and technological innovation, maintain financial stability and, finally, promote long run economic growth.
Research and Analysis of Lightweight Cryptographic Solutions for Internet of Things
Venue: ICoICT 2016

In last decade, due to increase in Information and communication technology (ICT) the era of smart things evolved at exponential rate. Internet of things (IoT) is one of the promising technologies related to smart things. The things are used to communicate as well as take decision based on convinced processing. Things that communicate in IoT belong to different users, which call for a concern on security and privacy of data from multiple users. One of major contribution to the advance of IoT is security. Lightweight security algorithms are apt for IoT due to the limited power and memory available with things. This research paper focuses on various existing symmetric and asymmetric lightweight solutions for IoT. This research paper also provides a detailed analysis of the existing lightweight algorithms on the basis of key size, block size, number of rounds, and attacks possible. Later, on the basis of the comparison carried out, this research paper identifies the research problems in IoT.
Design of a ZigBee based WSN with channel coding for energy and temperature monitoring
Venue: 2016 Al Sadeq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC MITCSA)

This paper has two objectives. First, to design and implement a prototype of WSN for monitoring power as well as temperature in buildings. Second, to evaluate the amount of improvement introduced to the ZigBee transceiver when channel coding method is used. The results indicated that the use of ZigBee based WSN in electric power monitoring provides flexibility and helps in reducing power consumption. Furthermore, the simulation results show that using Convolutional Coding (CC) in ZigBee transceiver gives better performance compared to traditional ZigBee transceivers specially at CC of code rate 1/8.
Internet of Things for monitoring the environmental parameters
Venue: 2016 International Conference on Information Technology (InCITe) The Next Generation IT Summit on the Theme Internet of Things: Connect your Worlds

Rapid growth in the infrastructure and industrial automation is creating environmental problems. In controlling the environment with pollutants researchers have develop strategies for monitoring the parameters and issues related to environment. This paper introduces the design of web server using internet of things based on ATmega328 and Ethernet Shield W5100 Ethernet controller chip with some I/O devices. To create an HTML webpage for that it need an IP address of Server side and enter into the browser like Internet Browser, Firefox and Google Chrome at client side. Input/output devices are LM35 temperature sensor, Rain sensor, BMP180 pressure. Temperature, Pressure, Altitude and Rain conditions are monitored and a system is developed and tested wherein in emergency situation various devices are controlled in real time.