Miracle-dz/UniFAR-FTUs huggingface dataset:
Non-communicable diseases : risk factors and actions for their prevention and control in Cuba *

1 This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs 3.0 IGO License, which permits use, distribution, and reproduction in any medium, provided the original work is properly cited. No modifications or commercial use of this article are permitted. In any reproduction of this article there should not be any suggestion that PAHO or this article endorse any specific organization or products. The use of the PAHO logo is not permitted. This notice should be preserved along with the article’s original URL. Non-communicable diseases: risk factors and actions for their prevention and control in Cuba*
Role of morphine and sufentanil in myocardial ischemia / reperfusion induced ventricular arrhythmias

In this study, we investigated the preconditioning effects of the classical opioid morphine and the novel opioid receptor agonist sufentanil on myocardial ischemia/reperfusion (I/R)-induced ventricular arrhythmias and their possible modes of action. Rats were divided into six groups: sham operation (C), I/R model (I/R), morphine (M) and sufentanil (S) preconditioned, and morphine (MPA) and sufentanil (SPA) preconditioned plus the p38 MAPK inhibitor SB203580. All groups (except C) received I/R, with morphine and sufentanil administered intravenously before left coronary artery ligation, and SB203580 administered before preconditioning. Hemodynamic indices (heart rate, mean arterial blood pressure and rate pressure product) were decreased in all groups compared to C (P < 0.05) but increased significantly in M, S, MPA and SPA (P < 0.05) compared with I/R; there were no significant differences between M and S, and between MPA and SPA. Analysis of arrhythmias by electrocardiography showed a similar trend. Western blotting and/or immunohistochemistry revealed that myocardiocytes in I/R expressed high levels of p38 MAPK and phosphorylated p38 MAPK, with decreased levels in M, S, MPA and SPA compared to C, while expression of Cx43 and p-Cx43 showed opposing patterns to that of p38 MAPK. Morphine and sufentanil may protect against myocardial I/R injury via Cx43 phosphorylation, but not via p38 MAPK.
Regulation of synaptic facilitation by postsynaptic Ca2+/CaM pathways in hippocampal CA1 neurons.

1. Current- and voltage-clamp recordings with simultaneous field potential recordings were used to study the cellular and molecular mechanisms that contribute to synaptic facilitation at CA1 synapses in rat hippocampal slices. Microelectrodes used for intracellular recordings were also used to inject modulators of intracellular signal pathways into postsynaptic CA1 neurons. 2. Paired-pulse stimulation at constant stimulus intensity was used to analyze the relationship between the first evoked response (R1) and the absolute value of paired-pulse synaptic facilitation (R2-R1). The magnitudes of these two measures were inversely correlated. Compared with synapses that control motor functions, the synapses of CA1 pyramidal neurons did not exhibit accumulative synaptic facilitation during repetitive stimulation, which is often believed to be mediated by presynaptic residual Ca2+. 3. During studies on the cellular location of mechanisms contributing to synaptic facilitation, we observed that postsynaptic injections of 1,2-bis(2-aminophenoxy)-ethane-N,N,N',N'-tetra-acetic acid or [Ala286]CaMKII281-302 [a Ca2+/calmodulin-dependent protein kinase II (CaM-KII) inhibitor peptide] prevented the decreases in paired-pulse facilitation (PPF) and synaptic potentiation induced by elevating extracellular Ca2+. These results show that raising extracellular Ca2+ enhances synaptic transmission in part by activating postsynaptic Ca2+ signal pathways. 4. The injection of Ca2+/calmodulin (CaM) into postsynaptic neurons significantly decreased PPF in 50 of 57 experiments while inducing synaptic potentiation; the Ca2+/CaM-induced synaptic potentiation and PPF attenuation occluded subsequent high Ca(2+)-induced enhancements of synaptic transmission. The changes in PPF induced by postsynaptic injections of Ca2+/CaM were inversely correlated with R1 potentiation. 5. The decreases in PPF induced by postsynaptic Ca2+/CaM injections were prevented by coinjecting pseudosubstrate inhibitors or substrate peptides of CaM-KII and protein kinase C (PKC), and were reversed by subsequent application of cyclothiazide (a blocker of alpha-amino-3-hydroxy-5-methylisoxazole-4-proprionic acid receptor desensitization). 6. Our results reveal that postsynaptic Ca2+/CaM signal pathways can modulate synaptic facilitation in the CNS, and the activities of CaM-KII and PKC are involved in this modulation. The physiological significance of such modulation is that synaptic strength could be potentiated by activation of Ca2+/CaM pathways during integration of important sensory input (e.g., learning and memory), whereas decreases in synaptic facilitation may protect synaptic transmission during extreme stimulation so that neuronal signal mechanisms can more accurately code neural information.
Improved harmony search based clustering protocol for wireless sensor networks with mobile sink

In mobile sink based wireless sensor networks, design of an energy efficient and scalable clustering protocol remains a critical research challenge. In clustering protocol, selection of cluster heads is an NP-hard problem. There are many solutions are proposed in the literature for this problem. Existing solutions are not energy efficient and scalable and suffers from energy hole problem. In order to solve energy hole problem, this paper proposes an Improved Harmony Search Based Clustering protocol for mobile sink based WSNs where a novel objective function is used for determining the cluster heads. In addition, mobile sink re-localization algorithm is also incorporated to reduce and balance the energy consumption. Performance comparisons of the proposed protocol with the well-known protocols are evaluated by varying different network scenario.
Analysis Volunteer and satis fi ed ? Rural households ' participation in a payments for environmental services programme in Inner Mongolia ☆

☆ This paper is part of a research programme funded b Education and Research on “Forest Resources Protection Case Studies Comparison from China” (ACI 2003-2-579). designed and implemented by Sylvie Démurger, Mart Weiyong Yang in collaboration with the Beijing Unive Mongolia Agricultural University. Sylvie Démurger wishe students from the Beijing University of Forestry an Agricultural University for theprecious collaboration in car We are also grateful to three anonymous referees fo suggestions. ⁎ Corresponding author at: CNRS, GATE Lyon Saint-Eti Ecully F-69130, France. E-mail addresses: demurger@gate.cnrs. fr (S. Démurge (A. Pelletier). 1 Rodriguez et al. (2011) provide an interesting discussi veloping world to tackle environmental conservation an PES programmes. See also Wunder (2005), Bulte et al. ( Muradian et al. (2010).
Magnetic Field and Operating Performance Analysisof Conical-rotor Permanent Magnet Synchronous Motor

— In order to accurately analyze the magnetic field of conical-rotor permanent magnet synchronous motor (CR-PMSM), the effectiveness of two methods was studied on handling of problems concerned with non-uniform distribution of magnetic field along axial direction in CR-PMSM, which were sectional calculation (SC) method and three-dimensional finite element (3-D FE) method. On this basis, the influence of the axial displacement and dq -axis currents on the operating characteristics of axial magnetic force and torque is analyzed by using the 3-D FE model. Analysis results show that the axial magnetic force and torque decrease with the increase of axial displacement of the rotor, and the amplitude regularity of the axial magnetic force is affected by the d -axis current. A prototype machine is fabricated and tested, in order to validate the design theory.
MBMS Handover Control for Efficient Multicasting in IP-Based 3G Mobile Networks

Handover Control in a cellular infrastructure aims to provide continuity of mobile services to a user traveling over cell boundaries. So far, Handover Control is considered only between cells supporting the service using Dedicated Resources and the handover decision making is based on a comparison between an observed signal strength value and a predetermined threshold chosen in a manner so as to maximize the overall system capacity. With the introduction of Multimedia Broadcast Multicast Service (MBMS), for radio efficiency reasons, one cell can use either Common or Dedicated resources for the distribution of the same content in a Cell. Thus, the mobile users that are on the move may have to deal with dynamic changes of network resources when crossing the cell edge, introducing new types of handovers (MBMS Handovers). Using the current Handover Algorithm when an MBMS Handover is executing will not be so efficient. For the efficient execution of these new types of handover a different approach has to be followed. This paper proposes a new Handover Algorithm which efficiently maximizes the overall system capacity when mobile MBMS users have to deal with these new types of handovers.
Query Segmentation for Web Search

This paper describes a query segmentation method for search engines supporting inverse lookup of words and phrases. Data mining in query logs and document corpora is used to produce segment candidates and compute connexity measures. Candidates are considered in context of the whole query, and a list of the most likely segmentations is generated, with each segment attributed with a connexity value. For each segmentation a segmentation score is computed from connexity values of non-trivial segments, which can be used as a sorting criterion for the segmentations. We also point to a relevancy improvement in query evaluation model by means of proximity penalty.
Demo Abstract: RIAPS — A Resilient Information Architecture Platform for Edge Computing

The emerging CPS/IoT ecosystem platforms such as Beaglebone Black, Raspberry Pi, Intel Edison and other edge devices such as SCALE, Paradrop are providing new capabilities for data collection, analysis and processing at the edge (also referred to as Fog Computing). This allows the dynamic composition of computing and communication networks that can be used to monitor and control the physical phenomena closer to the physical system. However, there are still a number of challenges that exist and must be resolved before we see wider applicability of these platforms for applications in safety-critical application domains such as Smart Grid and Traffic Control.
ROBUST BAYESIAN NEURAL NETWORKS

Bayesian neural networks (BNNs) hold great promise as a flexible and principled solution to deal with uncertainty when learning from finite data. Among approaches to realize probabilistic inference in deep neural networks, variational Bayes (VB) is theoretically grounded, generally applicable, and computationally efficient. With wide recognition of potential advantages, why is it that variational Bayes has seen very limited practical use for BNNs in real applications? We argue that variational inference in neural networks is fragile: successful implementations require careful initialization and tuning of prior variances, as well as controlling the variance of Monte Carlo gradient estimates. We provide two innovations that aim to turn VB into a robust inference tool for Bayesian neural networks: first, we introduce a novel deterministic method to approximate moments in neural networks, eliminating gradient variance; second, we introduce a hierarchical prior for parameters and a novel Empirical Bayes procedure for automatically selecting prior variances. Combining these two innovations, the resulting method is highly efficient and robust. On the application of heteroscedastic regression we demonstrate good predictive performance over alternative approaches.
Expression of dual Nucleotides/Cysteinyl-Leukotrienes Receptor GPR17 in early trafficking of cardiac stromal cells after myocardial infarction

GPR17 is a Gi‐coupled dual receptor activated by uracil‐nucleotides and cysteinyl‐leukotrienes. These mediators are massively released into hypoxic tissues. In the normal heart, GPR17 expression has been reported. By contrast, its role in myocardial ischaemia has not yet been assessed. In the present report, the expression of GPR17 was investigated in mice before and at early stages after myocardial infarction by using immunofluorescence, flow cytometry and RT‐PCR. Before induction of ischaemia, results indicated the presence of the receptor in a population of stromal cells expressing the stem‐cell antigen‐1 (Sca‐1). At early stages after ligation of the coronary artery, the receptor was expressed in Sca‐1+ cells, and cells stained with Isolectin‐B4 and anti‐CD45 antibody. GPR17+ cells also expressed mesenchymal marker CD44. GPR17 function was investigated in vitro in a Sca‐1+/CD31− cell line derived from normal hearts. These experiments showed a migratory function of the receptor by treatment with UDP‐glucose and leukotriene LTD4, two GPR17 pharmacological agonists. The GPR17 function was finally assessed in vivo by treating infarcted mice with Cangrelor, a pharmacological receptor antagonist, which, at least in part, inhibited early recruitment of GPR17+ and CD45+ cells. These findings suggest a regulation of heart‐resident mesenchymal cells and blood‐borne cellular species recruitment following myocardial infarction, orchestrated by GPR17.
A Shallow Neural Network for Native Language Identification with Character N-grams

This paper describes the systems submitted by GadjahMada team to the Native Language Identification (NLI) Shared Task 2017. Our models used a continuous representation of character n-grams which are learned jointly with feed-forward neural network classifier. Character n-grams have been proved to be effective for style-based identification tasks including NLI. Results on the test set demonstrate that the proposed model performs very well on essay and fusion tracks by obtaining more than 0.8 on both F-macro score and accuracy.
NON-DYADIC WAVELET ANALYSIS D.S.G. POLLOCK and IOLANDA LO CASCIO

The conventional dyadic multiresolution analysis constructs a succession of frequency intervals in the form of (π/2 , π/2j−1); j = 1, 2, . , n of which the bandwidths are halved repeatedly in the descent from high frequencies to low frequencies. Whereas this scheme provides an excellent framework for encoding and transmitting signals with a high degree of data compression, it is less appropriate to statistical data analysis. This paper describes a non-dyadic mixed-radix wavelet analysis which allows the wave bands to be defined more flexibly than in the case of a conventional dyadic analysis. The wavelets that form the basis vectors for the wave bands are derived from the Fourier transforms of a variety of functions that specify the frequency responses of the filters corresponding to the sequences of wavelet coefficients.
Spread Sampling for Graphs : Theory and Applications

2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 Spread Sampling for Graphs: Theory and Applications Yu Wang∗ Bortik Bandyopadhyay∗ Aniket Chakrabarti∗ David Sivakoff# Srinivasan Parthasarathy∗ ∗ Department of Computer Science and Engineering, # Department of Statistics The Ohio State University, Columbus, Ohio, USA wang.5205@osu.edu,srini@cse.ohio-state.edu ABSTRACT This paper proposes a novel scalable node sampling algorithm for large graphs that can achieve better spread or diversity across communities intrinsic to the graphwithout requiring any costly preprocessing steps. The proposed method leverages a simple iterative sampling technique controlled by two parameters: infection rate, that controls the dynamics of the procedure and removal threshold that affects the end-of-procedure sampling size. We present theoretical analyses of the sampling probability for this method on the celebrated Erdős–Rényi graph model, and of the community diversity on the Stochastic Block Model. Efficiently finding small samples with high diversity from large graphs has a number of practical applications such as online survey and community detection. Our method achieves very high community diversity with extremely low sampling budget on both synthetic and real-world graphs, with either balanced or imbalanced communities. We leverage the proposed sampling technique on community detection and show it outperforms the baselines of the same type.
Why Not to Do Two-Species Comparative Studies: Limitations on Inferring Adaptation

Interspecific comparison is a common approach in physiological ecology, comparative physiology, and biochemistry, and in such related fields as ';,functional morphology and ethology (Hochachka and Somero 1984; Feder et al. 1987; Brooks and McLennan 1991; Harvey and Page1 1991). In their most basic form, comparisons are used simply to identify which characteristics differ among species. Sometimes the goal is to identify alternative physiological or biomechanical mechanisms (multiple solutions; see, e.g., Bartholomew 1987) that have achieved a similar functional endpoint (e.g., longer legs vs. faster muscles, either of which may cause higher maximal sprinting abilities), or perhaps to identify new "models" in which to study particular phenomena (see, e.g., Faraci, Kilgore, and Fedde 1984; Kellogg and Shaffer 1993). Interspecific comparisons are also used frequently to elucidate the endpoint and/or the process of evolutionary adaptation, that is, genetic changes in response to natural selection (reviews in Harvey and Page1 1991; Miles and Dunham 1993; Losos and Miles 1994). Specifically, interspecific correlations between some aspect(s) of the phenotype (e.g., low rates of evaporative water loss) and some aspect(s) of the environment (e.g., heat and aridity) are taken to indicate that past and/or present natural selection acting
Impact of Commodities Transaction Tax on Indian Commodity Futures

The Commodity Futures Market is an instrument to achieve price discovery of commodities. The Government of India introduced the Commodities Transaction Tax of 0.01 per cent payable on seller for derivative transactions on 1 July 2013. This tax in line with the earlier tax imposed on transactions in the Securities Market, the Securities Transaction Tax. The difference between the two taxes (STT and CTT) in India is that STT is imposed on both buyers and sellers whereas CTT is levied on non-farm commodity derivatives and the tax is payable by the seller. The aim of imposition of these taxes is to reduce the price volatility and increase tax revenue, whether it will actually be able to achieve the objectives is debatable. It is debatable since the levy of the tax adversely affects the traded volume of the contracts. Currently, the CTT is applicable to non-farm commodity derivatives traded in commodity exchanges of India. The current study uses bootstrap methodology to assess the impact of commodities transaction tax on the trading volume on commodity exchange (overall) and trading volume of chosen commodities. A first order autocorrelation model is also utilised to study the impact of the imposition of CTT on returns and volatility of commodity portfolios.
Deep SMAnE-Deep Similarity Matrix Adjustment and Evaluation to Improve Schema Matching

Schema matching is at the basis of integrating structured and semistructured data, serving as a handy tool in multiple contemporary business and commerce applications. Being investigated in the fields of databases, AI, semantic Web and data mining for many years, the core challenge still remains the ability to create quality matchers, automatic tools for identifying correspondences among data concepts (e.g., database attributes). In this work, we offer a novel post processing step to schema matching that improves the final matching outcome without human intervention. We present a new mechanism, similarity matrix adjustment, to calibrate a matching result and propose an algorithm (dubbed ADnEV) that manipulates, using deep neural networks, similarity matrices, created by state-ofthe-art matchers. ADnEV learns two models that iteratively adjust and evaluate the original similarity matrix. We show conditions for dominance and convergence of ADnEV and demonstrate empirically the effectiveness of the proposed algorithmic solution for improving matching results, using real-world benchmark ontology and schema sets. ACM Reference Format: Roee Shraga, Avigdor Gal, and Haggai Roitman. 2019. Deep SMAnE Deep Similarity Matrix Adjustment and Evaluation to Improve Schema Matching. In Proceedings of ACM Conference (Conference’17). ACM, New York, NY, USA, 11 pages. https://doi.org/10.1145/nnnnnnn.nnnnnnn
A Topological Transformation of Quantum Dynamics

In this work, we discuss the topological transformation of quantum dynamics by showing the wave dynamics of a quantum particle on different types of topological structures in various dimensions from the fundamental polygons of the corresponding universal covering spaces. This is not the view from different perspectives of an observer who simply uses different coordinate systems to describe the same physical phenomenon but rather possible geometric and topological structures that quantum particles are endowed with when they are identified with differentiable manifolds that are embedded or immersed in Euclidean spaces of higher dimension. We present our discussions in the form of Bohr model in one, two and three dimensions using linear wave equations. In one dimension, the fundamental polygon is an interval and the universal covering space is the straight line and in this case the standing wave on a finite string is transformed into the standing wave on a circle which can be applied into the Bohr model of the hydrogen atom. In two dimensions, the fundamental polygon is a square and the universal covering space is the plane and in this case, the standing wave on the square is transformed into the standing wave on different surfaces that can be formed by gluing opposite sides of the square, which include a 2-sphere, a 2-torus, a Klein bottle and a projective plane. In three dimensions, the fundamental polygon is a cube and the universal covering space is the three-dimensional Euclidean space. It is shown that a 3-torus and the manifold 1 K S × defined as the product of a Klein bottle and a circle can be constructed by gluing opposite faces of a cube. Therefore, in three-dimensions, the standing wave on a cube is transformed into the standing wave on a 3-torus or on the manifold 1 K S × . We also suggest that the mathematical degeneracy may play an important role in quantum dynamics and be associated with the concept of wavefunction collapse in quantum mechanics. How to cite this paper: Ho, V.B. (2019) A Topological Transformation of Quantum Dynamics. Journal of Modern Physics, 10, 102-127. https://doi.org/10.4236/jmp.2019. 102009 Received: January 14, 2019 Accepted: February 11, 2019 Published: February 14, 2019 Copyright © 2019 by author(s) and Scientific Research Publishing Inc. This work is licensed under the Creative Commons Attribution International License (CC BY 4.0). http://creativecommons.org/licenses/by/4.0/ Open Access