Miracle-dz/UniFAR-FTUs huggingface dataset:
Time-continuous Estimation of Emotion in Music with Recurrent Neural Networks

In this paper, we describe the IRIT's approach used for the MediaEval 2015 "Emotion in Music" task. The goal was to predict two real-valued emotion dimensions, namely valence and arousal, in a time-continuous fashion. We chose to use recurrent neural networks (RNN) for their sequence modeling capabilities. Hyperparameter tuning was performed through a 10-fold cross-validation setup on the 431 songs of the development subset. With the baseline set of 260 acoustic features, our best system achieved averaged root mean squared errors of 0.250 and 0.238, and Pearson's correlation coefficients of 0.703 and 0.692, for valence and arousal, respectively. These results were obtained by first making predictions with an RNN comprised of only 10 hidden units, smoothed by a moving average filter, and used as input to a second RNN to generate the final predictions. This system gave our best results on the official test data subset for arousal (RMSE=0.247, r=0.588), but not for Valence. Valence predictions were much worse (RMSE=0.365, r=0.029). This may be explained by the fact that in the development subset, valence and arousal values were very correlated (r=0.626), and this was not the case with the test data. Finally, slight improvements over these figures were obtained by adding spectral atness and spectral valley features to the baseline set.
Risk of death with atypical antipsychotic drug treatment for dementia: meta-analysis of randomized placebo-controlled trials.

CONTEXT Atypical antipsychotic medications are widely used to treat delusions, aggression, and agitation in people with Alzheimer disease and other dementia; however, concerns have arisen about the increased risk for cerebrovascular adverse events, rapid cognitive decline, and mortality with their use. OBJECTIVE To assess the evidence for increased mortality from atypical antipsychotic drug treatment for people with dementia. DATA SOURCES MEDLINE (1966 to April 2005), the Cochrane Controlled Trials Register (2005, Issue 1), meetings presentations (1997-2004), and information from the sponsors were searched using the terms for atypical antipsychotic drugs (aripiprazole, clozapine, olanzapine, quetiapine, risperidone, and ziprasidone), dementia, Alzheimer disease, and clinical trial. STUDY SELECTION Published and unpublished randomized placebo-controlled, parallel-group clinical trials of atypical antipsychotic drugs marketed in the United States to treat patients with Alzheimer disease or dementia were selected by consensus of the authors. DATA EXTRACTION Trials, baseline characteristics, outcomes, all-cause dropouts, and deaths were extracted by one reviewer; treatment exposure was obtained or estimated. Data were checked by a second reviewer. DATA SYNTHESIS Fifteen trials (9 unpublished), generally 10 to 12 weeks in duration, including 16 contrasts of atypical antipsychotic drugs with placebo met criteria (aripiprazole [n = 3], olanzapine [n = 5], quetiapine [n = 3], risperidone [n = 5]). A total of 3353 patients were randomized to study drug and 1757 were randomized to placebo. Outcomes were assessed using standard methods (with random- or fixed-effects models) to calculate odds ratios (ORs) and risk differences based on patients randomized and relative risks based on total exposure to treatment. There were no differences in dropouts. Death occurred more often among patients randomized to drugs (118 [3.5%] vs 40 [2.3%]. The OR by meta-analysis was 1.54; 95% confidence interval [CI], 1.06-2.23; P = .02; and risk difference was 0.01; 95% CI, 0.004-0.02; P = .01). Sensitivity analyses did not show evidence for differential risks for individual drugs, severity, sample selection, or diagnosis. CONCLUSIONS Atypical antipsychotic drugs may be associated with a small increased risk for death compared with placebo. This risk should be considered within the context of medical need for the drugs, efficacy evidence, medical comorbidity, and the efficacy and safety of alternatives. Individual patient analyses modeling survival and causes of death are needed.
Melody-based retrieval of music

Nowadays, available music information is increasing rapidly from fast growing digital libraries and the Internet. How to effectively retrieve music data is a challenging task and content‐based retrieval of music is a relatively large area. Much work that aims at creating acoustical waveforms of music has been carried out. But to many people, the most important and useful feature of music is the melody. This paper focuses on the melody‐based retrieval of music, which can be regarded as a kind of content‐based retrieval of music but much closer to the actual nature of music. It can be divided into three parts for studying: the extraction of melodic attributes, the melody input methods and the matching methods.
ANN-based predictive model for performance evaluation of paper and pulp effluent treatment plant

Neural networks (NNs) have been widely used for complex processes that are poorly described by first principle models, such as wastewater biological treatment systems. In this paper, we propose an Artificial Neural Network (ANN) based predictive model for assessing the performance of paper and pulp effluent treatment plants. Mathematical models were created for the thickener area of the clarifier by correlating process control parameters such as mean cell residence time (θ
Formulation and chemical characterization of bread supplemented with pomegranate peel powder

The present study aimed to formulate bread supplemented with pomegranate peel powder and evaluate its chemical characteristics. All types of supplemented breads were organoleptically acceptable. A significant increase was observed in protein (10.64 to 13.27), fat (5.74 to 6.17%), crude fibre (1.84 to 3.21%) and ash (2.75 to 3.39%) content of supplemented breads. Supplementation of pomegranate peel powder in bread significantly (P≤0.05) enhanced their dietary fibre, calcium, phosphorus, iron, zinc and magnesium contents compared to control bread. The in vitro starch and protein digestibility was 51.79 mg maltose released/g meal and 64.15 per cent, respectively in 100 per cent wheat flour bread which was significantly (p≤0.05) higher than that of value added bread. Control bread had significantly (P≤0.05) lower levels of antinutrients as compared to soybean and pomegranate peel powder supplemented breads.
Worst-Case optimal and average-case efficient geometric ad-hoc routing

In this paper we present GOAFR, a new geometric ad-hoc routing algorithm combining greedy and face routing. We evaluate this algorithm by both rigorous analysis and comprehensive simulation. GOAFR is the first ad-hoc algorithm to be both asymptotically optimal and average-case efficient. For our simulations we identify a network density range critical for any routing algorithm. We study a dozen of routing algorithms and show that GOAFR outperforms other prominent algorithms, such as GPSR or AFR.
Effect of evidence-based feeding guidelines on mortality of critically ill adults: a cluster randomized controlled trial.

CONTEXT Evidence demonstrates that providing nutritional support to intensive care unit (ICU) patients within 24 hours of ICU admission reduces mortality. However, early feeding is not universally practiced. Changing practice in complex multidisciplinary environments is difficult. Evidence supporting whether guidelines can improve ICU feeding practices and patient outcomes is contradictory. OBJECTIVE To determine whether evidence-based feeding guidelines, implemented using a multifaceted practice change strategy, improve feeding practices and reduce mortality in ICU patients. DESIGN, SETTING, AND PATIENTS Cluster randomized trial in ICUs of 27 community and tertiary hospitals in Australia and New Zealand. Between November 2003 and May 2004, 1118 critically ill adult patients expected to remain in the ICU longer than 2 days were enrolled. All participants completed the study. INTERVENTIONS Intensive care units were randomly assigned to guideline or control groups. Guideline ICUs developed an evidence-based guideline using Browman's Clinical Practice Guideline Development Cycle. A practice-change strategy composed of 18 specific interventions, leveraged by educational outreach visits, was implemented in guideline ICUs. MAIN OUTCOME MEASURES Hospital discharge mortality. Secondary outcomes included ICU and hospital length of stay, organ dysfunction, and feeding process measures. RESULTS Guideline and control ICUs enrolled 561 and 557 patients, respectively. Guideline ICUs fed patients earlier (0.75 vs 1.37 mean days to enteral nutrition start; difference, -0.62 [95% confidence interval {CI}, -0.82 to -0.36]; P < .001 and 1.04 vs 1.40 mean days to parenteral nutrition start; difference, -0.35 [95% CI, -0.61 to -0.01]; P = .04) and achieved caloric goals more often (6.10 vs 5.02 mean days per 10 fed patient-days; difference, 1.07 [95% CI, 0.12 to 2.22]; P = .03). Guideline and control ICUs did not differ with regard to hospital discharge mortality (28.9% vs 27.4%; difference, 1.4% [95% CI, -6.3% to 12.0%]; P = .75) or to hospital length of stay (24.2 vs 24.3 days; difference, -0.08 [95% CI, -3.8 to 4.4]; P = .97) or ICU length of stay (9.1 vs 9.9 days; difference, -0.86 [95% CI, -2.6 to 1.3]; P = .42). CONCLUSIONS Using a multifaceted practice change strategy, ICUs successfully developed and introduced an evidence-based nutritional support guideline that promoted earlier feeding and greater nutritional adequacy. However, use of the guideline did not improve clinical outcomes. Trial Registration anzctr.org. au Identifier: ACTRN12608000407392.
An Efficient and Fair MAC Protocol Robust to Reactive Interference

Interference constitutes a major challenge to availability for communication networks operating over a shared medium. This paper proposes the medium access (MAC) protocol AntiJam, which achieves a high and fair throughput even in harsh environments. Our protocol mitigates internal interference, requiring no knowledge about the number of participants in the network. It is also robust to intentional and unintentional external interference, e.g., due to coexisting networks or jammers. We model external interference using a powerful reactive adversary that can jam a (1-ε) -portion of the time-steps, where 0 <; ε ≤ 1 is an arbitrary constant. The adversary uses carrier sensing to make informed decisions on when it is most harmful to disrupt communications. Moreover, we allow the adversary to be adaptive and to have complete knowledge of the entire protocol history. AntiJam makes efficient use of the nonjammed time periods and achieves, if ε is constant, a Θ(1)-competitive throughput. In addition, AntiJam features a low convergence time and has excellent fairness properties, such that channel access probabilities do not differ among nodes by more than a small constant factor.
Weak Three-Linking in Eulerian Digraphs

Let G be an Eulerian digraph, and $a,b,c$ an ordered triple of its vertices. A polynomial time algorithm of $O( e + n^2 )$ time is presented to decide whether G contains three arc disjoint $ab$-, $bc$-, and $ca$-paths, where e and n are the numbers of arcs and vertices, respectively. The algorithm is based on a structural characterization of minimal infeasible instances of the problem.
Green Synthesis of Gold Nanoparticles Using Elettaria cardamomum (ELAICHI) Aqueous Extract

In the present study we explore the reducing and capping potential of aqueous extract from seed pod of Elaichi for synthesis of gold nanoparticles. The extract with different concentration reduced with HAuCl4 aqueous solution at room temperature. The color change, pH change and UV-Visible spectroscopic analysis reveal the Surface Plasmon Resonance (SPR) of the final reaction product which confirms the reduction of Au 3+ ion to gold nanoparticles. XRD, Particle size analysis result represents strong reducing potential of Elaichi aqueous extract which can also be tested in the green synthesis of other metallic nanoparticles.
Review Using self-assembled monolayers to model the extracellular matrix q

The extracellular matrix is an insoluble aggregate of large proteins and glycosoaminoglycans that comprises the microenvironment of cells in tissue. The matrix displays a host of ligands that interact with cell-surface receptors to mediate the attachment and spreading of cells and regulate signaling processes. Studies of cell–matrix interactions and downstream signaling processes commonly employ substrates having an adsorbed layer of protein and are challenged by the difficulty in controlling the structure and activity of the immobilized protein. Significant effort has been directed towards the development of model substrates that present adhesion ligands in defined densities, orientations and environments. Among these approaches, self-assembled monolayers of alkanethiolates on gold offer a high level of control over the molecular structure of the surface and are well-suited to studies of cell adhesion. This review describes the design and use of monolayers for applications in cell biology, including the use of monolayers to evaluate the roles of peptide and protein ligands in cell–matrix interactions, the development of methods to pattern ligands on monolayers and applications to cell biology, the development of dynamic monolayers that can switch the activities of ligands presented to an adherent cell, and the rewiring of interactions between a cell and its substrate. These examples illustrate the flexibility inherent to monolayers for applications in cell biology.
Comparative responsiveness of the EuroQol‐5D and Short Form 6D to improvement in patients with rheumatoid arthritis treated with tumor necrosis factor blockers: Results of the Dutch Rheumatoid Arthritis Monitoring registry

For cost‐utility analyses of health technologies, utilities are commonly measured with the EuroQol‐5D (EQ‐5D) or the Short Form 6D (SF‐6D). Although most studies in rheumatoid arthritis (RA) found the SF‐6D to be more responsive than the EQ‐5D, evidence is not convincing. The aim of this study was to compare the responsiveness of the EQ‐5D and SF‐6D to improvement in RA patients treated with tumor necrosis factor (TNF) blockers.
Head Accelerations during Particle Repositioning Manoeuvres

Benign paroxysmal positional vertigo (BPPV) due to canalithiasis can be treated with particle repositioning manoeuvres, which aim to evacuate trapped particles from the semicircular canals (SCC). The movement of particles within the SCC is affected by gravity as well as by the accelerations of the head during the manoeuvres. Moreover, as experienced by the particles, gravity is indistinguishable from an upward acceleration of the SCC in free space. We used a set of three orthogonal linear accelerometers to measure the net three-dimensional linear acceleration vector acting on the head during the Hallpike manoeuvre and Epley and Semont particle repositioning manoeuvres (which are used to treat posterior canal BPPV). The projection of the net acceleration vector onto the SCC planes showed that both the Epley and Semont manoeuvres approximated to stepwise, 360°, backward rotations in the plane of the targeted posterior canal. Angular velocity measurements however showed that the rotational component during the central stages of these two manoeuvres is opposite in direction. A simple model of head rotations during particle repositioning manoeuvres was created which showed good agreement to the linear acceleration measurements. Analysis of modelled and measured data identified that speed of movement during the Semont manoeuvre should be critical to its clinical success.
Loss of HSulf‐1 expression enhances tumorigenicity by inhibiting Bim expression in ovarian cancer

The expression of human Sulfatase1 (HSulf‐1) is downregulated in the majority of primary ovarian cancer tumors, but the functional consequence of this downregulation remains unclear. Using two different shRNAs (Sh1 and Sh2), HSulf‐1 expression was stably downregulated in ovarian cancer OV202 cells. We found that HSulf‐1‐deficient OV202 Sh1 and Sh2 cells formed colonies in soft agar. In contrast, nontargeting control (NTC) shRNA‐transduced OV202 cells did not form any colonies. Moreover, subcutaneous injection of OV202 HSulf‐1‐deficient cells resulted in tumor formation in nude mice, whereas OV202 NTC cells did not. Also, ectopic expression of HSulf‐1 in ovarian cancer SKOV3 cells significantly suppressed tumor growth in nude mice. Here, we show that HSulf‐1‐deficient OV202 cells have markedly decreased expression of proapoptotic Bim protein, which can be rescued by restoring HSulf‐1 expression in OV202 Sh1 cells. Enhanced expression of HSulf‐1 in HSulf‐1‐deficient SKOV3 cells resulted in increased Bim expression. Decreased Bim levels after loss of HSulf‐1 were due to increased p‐ERK, because inhibition of ERK activity with PD98059 resulted in increased Bim expression. However, treatment with a PI3 kinase/AKT inhibitor, LY294002, failed to show any change in Bim protein level. Importantly, rescuing Bim expression in HSulf‐1 knockdown cells significantly retarded tumor growth in nude mice. Collectively, these results suggest that loss of HSulf‐1 expression promotes tumorigenicity in ovarian cancer through regulating Bim expression.
Consensus multi-locus sequence typing scheme for Cryptococcus neoformans and Cryptococcus gattii.

This communication describes the consensus multi-locus typing scheme established by the Cryptococcal Working Group I (Genotyping of Cryptococcus neoformans and C. gattii) of the International Society for Human and Animal Mycology (ISHAM) using seven unlinked genetic loci for global strain genotyping. These genetic loci include the housekeeping genes CAP59,GPD1, LAC1, PLB1, SOD1, URA5 and the IGS1 region. Allele and sequence type information are accessible at http://www.mlst. net/ .
Face Recognition with Discriminating 3D DCT Coefficients

In this study, we investigate the use of a 3D discrete cosine transform (DCT) for 3D face recognition and present a novel 3D DCT-based feature extraction method with the selection of discriminating coefficients. We apply a 3D DCT on the voxel data, and use transform coefficients as features. Then the most discriminating 3D transform coefficients are selected with the proportion of variance, sequential floating forward selection and sequential floating backward selection methods. After feature selection, the linear discriminant analysis is applied on reduced sized feature vectors. We compare the results of different feature selection methods and show that a hybrid feature selection method has the best performance both in terms of time and recognition. Our experimental results verify that the discriminating DCT coefficients increase the face recognition rate more than the low-indexed coefficients do. On the other hand, the discriminating coefficients have only an energy level of 1.58%, too low when compared with the total energy of low-indexed coefficients. This fact shows that the discriminating coefficients are not the most energetic ones. With these coefficients, a recognition rate of 99.25% is achieved and this result is compared with other methods tested on a 3D RMA face database.
Using Photovoice Methodology to Investigate Facilitators and Barriers to Food Acquisition and Preparation by Rural Older Women

This research investigates facilitators and barriers that rural women aged 65 to 75 years in Southwestern Ontario experience in acquiring and preparing food through the use of photovoice methodology. Eighteen participants in five rural communities used a camera and log book to document their experiences and perspectives relating to the acquisition and preparation of food, and they each participated in two focus groups to engage in critical dialogue and knowledge sharing regarding the meaning and significance of the pictures they took. Analysis of photographs, log books, and focus group data revealed 13 themes, 3 emerging as facilitators to food acquisition and preparation (availability of food, social networks and values, personal values and resources), 5 as barriers (adjusting to changing family size, winter weather, food labeling issues, grocery shopper resources, limited physical capacity), and 5 as both facilitators and barriers (economics, valuing a healthy diet, technology changes, transportation, location and nature of grocery stores). Data also revealed rurality, age, and gender as foundationally influential factors affecting rural older women's food acquisition and preparation.
Selective serotonin reuptake inhibitors and cardiovascular events: A systematic review

Background: Given the importance of the role of depression in predicting the outcome of cardiovascular disorders, current medications for treating depression, particularly selective serotonin reuptake inhibitors (SSRIs), are taken into consideration. This study aimed to systematically review the published findings in the use of SSRIs and the risk for cardiac events. Materials and Methods: An independent review of the Web of Science, PubMed, Scopus, Cochrane, CINAHL, index Copernicus, and Google Scholar, up to 2014, was performed. We identified studies evaluating the effect of SSRIs, on cardiovascular events. Articles in English with full text availability, review articles, and experimental studies were included in the study. Among 150 studies reviewed based on the included keywords, 17 met the study criteria and were finally reviewed. Results: The use of some types of SSRIs may prevent platelet adhesion and aggregation; control the cardiovascular risk profile including hypertension, insulin resistance, and body weight; and also inhibit inflammatory processes. The appearance of adverse cardiac events, including cardiac arrhythmias (torsade de pointes and QT prolongation), syncope, increased systolic and diastolic right ventricular volume, and the production of pro-inflammatory cytokines leading atherosclerosis development, has also been expected with the chronic use of some types of SSRIs. Conclusion: According to our systematic review, both beneficial and adverse cardiovascular events can be established following the chronic use of various types of SSRIs. Therefore, when taking SSRIs, the cardiovascular effect of each SSRI has to be carefully considered, based on patients’ cardiovascular risk profiles.
Mechanisms of knowledge transfer

A process for the production of cationic paint binders which are particularly suitable for formulating pigment pastes for cathodically depositable electrocoating paints is described. The paint binders produced according to the invention are modified epoxy resin-amine adducts which contain organically-chemically bonded titanium. The cured paint films provide excellent corrosion protection on non-pretreated sheet steel even in the absence of lead-containing compounds and/or lead pigments.