Miracle-dz/UniFAR-FTUs huggingface dataset:
Dissolving the plastics problem.

Background: The mosquito Culex annulirostris Skuse (Diptera: Culicidae) is the major vector of endemic arboviruses in Australia and is also responsible for the establishment of the Japanese encephalitis virus (JEV) in southern Papua New Guinea (PNG) as well as its incursions into northern Australia. Papua New Guinea and mainland Australia are separated by a small stretch of water, the Torres Strait, and its islands. While there has been regular JEV activity on these islands, JEV has not established on mainland Australia despite an abundance of Cx. annulirostris and porcine amplifying hosts. Despite the public health significance of this mosquito and the fact that its adults show overlapping morphology with close relative Cx. palpalis Taylor, its evolution and genetic structure remain undetermined. We address a hypothesis that there is significant genetic diversity in Cx. annulirostris and that the identification of this diversity will shed light on the paradox that JEV can cycle on an island 70 km from mainland Australia while not establishing in Australia itself. Results: We sequenced 538 bp of the mitochondrial DNA cytochrome oxidase I gene from 273 individuals collected from 43 localities in Australia and the southwest Pacific region to describe the phylogeography of Cx. annulirostris and its sister species Cx. palpalis. Maximum Likelihood and Bayesian analyses reveal supporting evidence for multiple divergent lineages that display geographic restriction. Culex palpalis contained three divergent lineages geographically restricted to southern Australia, northern Australia and Papua New Guinea (PNG). Culex annulirostris contained five geographically restricted divergent lineages, with one lineage restricted to the Solomon Islands and two identified mainly within Australia while two other lineages showed distributions in PNG and the Torres Strait Islands with a southern limit at the top of Australia's Cape York Peninsula. Conclusion: The existence of divergent mitochondrial lineages within Cx. annulirostris and Cx. palpalis helps explain the difficulty of using adult morphology to identify Cx. annulirostris and its ecological diversity. Notably, the southern limit of the PNG lineages of Cx. annulirostris coincides exactly with the current southern limit of JEV activity in Australasia suggesting that variation in these COI lineages may be the key to why JEV has not yet established yet on mainland Australia. Published: 29 June 2007 BMC Evolutionary Biology 2007, 7:100 doi:10.1186/1471-2148-7-100 Received: 31 October 2006 Accepted: 29 June 2007 This article is available from: http://www.biomedcentral. com/1471-2148/7/100 © 2007 Hemmerter et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Performance analysis of optimization techniques in peer-to-peer video streaming systems with tree/forest topology

Peer-to-peer video streaming systems are overlay networks used to distribute, among other types of content, live video content to large sets of users by relying on network and computing resources directly provided by users that are receiving the video stream. In this paper, we analyze the impact of two optimization techniques that can be adopted in peer-to-peer video streaming systems, with tree or forest topology, to cope with the negative effects of user's leaves. We carry out a performance analysis of these systems, analyzing their sensitivity to the most critical system parameters, when nearly-permanent nodes, i.e., peers with a smaller-than-average leave rate, are used to optimize the overlay topology.
Diatoms Diversity of Thermal Springs in the Southwest Region, Saudi Arabia

Egyptian Academic Journal of Biological Sciences is the official English language journal of the Egyptian Society for Biological Sciences , Department of Entomology ,Faculty of Sciences Ain Shams University . The Botany Journal publishes original research papers and reviews from any botanical discipline or from directly allied fields in ecology, behavioral biology, physiology, biochemistry, development, genetics, systematic, morphology, evolution, control of herbs, arachnids, and general botany. www.eajbs. eg.net Provided for non-commercial research and education use. Not for reproduction, distribution or commercial use.
The central role of the host cell in symbiotic nitrogen metabolism

Symbiotic nitrogen recycling enables animals to thrive on nitrogen-poor diets and environments. It traditionally refers to the utilization of animal waste nitrogen by symbiotic micro-organisms to synthesize essential amino acids (EAAs), which are translocated back to the animal host. We applied metabolic modelling and complementary metabolite profiling to investigate nitrogen recycling in the symbiosis between the pea aphid and the intracellular bacterium Buchnera, which synthesizes EAAs. The results differ from traditional notions of nitrogen recycling in two important respects. First, aphid waste ammonia is recycled predominantly by the host cell (bacteriocyte) and not Buchnera. Host cell recycling is mediated by shared biosynthetic pathways for four EAAs, in which aphid transaminases incorporate ammonia-derived nitrogen into carbon skeletons synthesized by Buchnera to generate EAAs. Second, the ammonia substrate for nitrogen recycling is derived from bacteriocyte metabolism, such that the symbiosis is not a sink for nitrogenous waste from other aphid organs. Host cell-mediated nitrogen recycling may be general among insect symbioses with shared EAA biosynthetic pathways generated by the loss of symbiont genes mediating terminal reactions in EAA synthesis.
Sensitivity to interaural temporal disparities of low- and high-frequency neurons in the superior olivary complex. II. Coincidence detection.

In the companion paper we demonstrated that neurons in the superior olivary complex that were sensitive to interaural temporal disparities (ITDs) could be divided into two broad categories: peak type and trough type. Within these broad categories, many neurons exhibited various types of irregularities in their responses. In the present paper we devise three criteria to determine whether all types of neurons act as coincidence detectors. Each criterion relies on a comparison between the synchrony of the responses to the wave-forms at either ear and the "interaural synchrony," i.e., the response to a cyclically varying ITD. First, a neuron should exhibit synchrony to both the ipsilateral and contralateral waveforms over the entire range, to which it is sensitive to ITDs. Second, the ITD that elicits maximal discharge should be equal to the delay required to bring the ipsilateral and contralateral waveforms into coincidence. Third, the strength of interaural synchrony should be predicted by the strengths of synchrony to the waveforms at either ear. We found that most neurons of all types in the superior olivary complex met these criteria. Thus coincidence detection is a basic operating principle for all forms of ITD sensitivity.
A Total Variation Regularization Based Super-Resolution Reconstruction Algorithm for Digital Video

Super-resolution (SR) reconstruction technique is capable of producing a high-resolution image from a sequence of low-resolution images. In this paper, we study an efficient SR algorithm for digital video. To effectively deal with the intractable problems in SR video reconstruction, such as inevitable motion estimation errors, noise, blurring, missing regions, and compression artifacts, the total variation (TV) regularization is employed in the reconstruction model. We use the fixed-point iteration method and preconditioning techniques to efficiently solve the associated nonlinear Euler-Lagrange equations of the corresponding variational problem in SR. The proposed algorithm has been tested in several cases of motion and degradation. It is also compared with the Laplacian regularization-based SR algorithm and other TV-based SR algorithms. Experimental results are presented to illustrate the effectiveness of the proposed algorithm.
(2-Methyl-1-phenylsulfonyl-1H-indol-3-yl)phenylmethyl acetate

In the title compound, C24H21NO4S, the indole ring system makes dihedral angles of 77.8 (1) and 85.4 (1)°, respectively, with the S- and C-bound phenyl rings. The molecular structure is stabilized by a weak intramolecular C—H⋯O hydrogen bond. In the crystal, a weak intermolecular C—H⋯O hydrogen bond and a C—H⋯π interaction are also observed.
Run-time principals in information-flow type systems

Information-flow type systems are a promising approach for enforcing strong end-to-end confidentiality and integrity policies. Such policies, however, are usually specified in term of static information-data is labeled high or low security at compile time. In practice, the confidentiality of data may depend on information available only while the system is running. This paper studies language support for run-time principals, a mechanism for specifying information-flow security policies that depend on which principals interact with the system. We establish the basic property of noninterference for programs written in such language, and use run-time principals for specifying run-time authority in downgrading mechanisms such as declassification. In addition to allowing more expressive security policies, run-time principals enable the integration of language-based security mechanisms with other existing approaches such as Java stack inspection and public key infrastructures. We sketch an implementation of run-time principals via public keys such that principal delegation is verified by certificate chains.
Financing Investment : A New Test of Capital Structure

We study the financing patterns of large and indivisible projects – arguably the main focus of capital structure theory – by developing a filter that identifies investment spikes in a large population of firms. Consistent with the pecking-order theory we find that projects are predominantly financed with debt, particularly in large and profitable firms. However, we reject the hypothesis that internal finance plays a major role in funding investment. Consistent with the trade-off theory, firms show a strong tendency to revert back to their initial leverage. This pattern of “pecking order in the short run, trade-off in the long run” is consistent with equity adjustments being postponed until a certain threshold is reached. However, we do not find evidence that equity issues are lumpy or infrequent.
Extreme precipitation events over north-western Europe: getting water from the tropics

Our capability to adapt to extreme precipitation events is linked to our skill in predicting their magnitude and timing. Synoptic features (such as Atmospheric Rivers) developing over the North Atlantic Ocean are known as the source of the majority of water vapour transport into European mid-latitudes, and are associated with episodes of heavy and prolonged rainfall over UK and north western Europe. Thus, a better understanding of the North Atlantic atmospheric conditions prior the occurrence of extreme precipitation events over Europe could help in improving our capability to predict them. We build on atmospheric re-analyses at high spatial resolution (such as JRA-55 and MERRA), on a daily time scale, to highlight the anomalous path of the vertically integrated water content, transferring water from the western tropical North Atlantic to high latitudes and fuelling the storms developing in the North Atlantic sector, bound to affect Europe as responsible of the most intense precipitation events. The systematic link between anomalous north-eastward transport of vertically integrated water (precipitable water) from the western North Atlantic and anomalously high pressure patterns in the central North Atlantic, developing 5 days prior the extreme precipitation occurrence, suggest the central North Atlantic surface pressure as a potential precursor of extreme precipitation events.
Perfect Simulation Involving a Continuous andUnbounded State

In this paper we present an important application of perfect simulation using Markov chains involving a continuous and unbounded state space. We demonstrate how to sample exactly a linear functional of a random probability measure chosen from a Dirichlet process, which has application in Bayesian nonparametric problems. We use ideas of coupling from the past and in particular point out that if interest is in the output from a computing machine then one need go no further than the work of Propp & Wilson (1996), who considered perfect simulation involving nite state spaces.
A pilot study of river flow prediction in urban area based on phase space reconstruction

River flow prediction is significantly related to urban hydrology impact which can provide information to solve any problems such as flood in urban area. The daily river flow of Klang River, Malaysia was chosen to be forecasted in this pilot study which based on phase space reconstruction. The reconstruction of phase space involves a single variable of river flow data to m-dimensional phase space in which the dimension (m) is based on the optimal values of Cao method. The results from the reconstruction of phase space have been used in the forecasting process using local linear approximation method. From our investigation, river flow at Klang River is chaotic based on the analysis from Cao method. The overall results provide good value of correlation coefficient. The value of correlation coefficient is acceptable since the area of the case study is influence by a lot of factors. Therefore, this pilot study may be proposed to forecast daily river flow data with the purpose of providing information about th.
IQGAP1 Is a Novel CXCR2-Interacting Protein and Essential Component of the “Chemosynapse”

Background Chemotaxis is essential for a number of physiological processes including leukocyte recruitment. Chemokines initiate intracellular signaling pathways necessary for chemotaxis through binding seven transmembrane G protein-couple receptors. Little is known about the proteins that interact with the intracellular domains of chemokine receptors to initiate cellular signaling upon ligand binding. CXCR2 is a major chemokine receptor expressed on several cell types, including endothelial cells and neutrophils. We hypothesize that multiple proteins interact with the intracellular domains of CXCR2 upon ligand stimulation and these interactions comprise a “chemosynapse”, and play important roles in transducing CXCR2 mediated signaling processes. Methodology/Principal Findings In an effort to define the complex of proteins that assemble upon CXCR2 activation to relay signals from activated chemokine receptors, a proteomics approach was employed to identify proteins that co-associate with CXCR2 with or without ligand stimulation. The components of the CXCR2 “chemosynapse” are involved in processes ranging from intracellular trafficking to cytoskeletal modification. IQ motif containing GTPase activating protein 1 (IQGAP1) was among the novel proteins identified to interact directly with CXCR2. Herein, we demonstrate that CXCR2 co-localizes with IQGAP1 at the leading edge of polarized human neutrophils and CXCR2 expressing differentiated HL-60 cells. Moreover, amino acids 1-160 of IQGAP1 directly interact with the carboxyl-terminal domain of CXCR2 and stimulation with CXCL8 enhances IQGAP1 association with Cdc42. Conclusions Our studies indicate that IQGAP1 is a novel essential component of the CXCR2 “chemosynapse”.
Draft 1 Renoprotective Effects Aliskiren on Adenine-induced Tubulointerstitial Nephropathy : Possible Underlying Mechanisms

Journal: Canadian Journal of Physiology and Pharmacology Manuscript ID cjpp-2015-0364.R1 Manuscript Type: Article Date Submitted by the Author: 07-Dec-2015 Complete List of Authors: Hussein, Abdelaziz; Mansoura,Faculty of Medicine, Medical Physiology Malek, Hala; Mansoura University, , Clinical Pharmacology Dept Saad, Mohamed-Ahdy; Mansoura University, Clinical Pharmacology Dept. Keyword: adenine, nephropathy, nrf2, caspase-3, eNOS, oxidative stress
Bath-Substrate-Flow Method for Evaluating the Detersive and Dispersant Performance of Hard-Surface Detergents

A method has been formulated and tested in a laboratory device to evaluate the detersive and dispersant performance, as well as the washing dynamics, of surfactants and builders and the formulation of the detergent. The method, called bath-substrate flow (BSF), is based on the separation of the washing bath from the substrate to be washed after contact of the two by a cyclic-flow process. The method serves to analyze mechanical washing systems, such as dishwashers, tunnel washes, floor-washing machines, and industrial-scale cleaning systems. The circumscribed central compound experimental design was applied, as was the response surface method, to correlate the detergency values found.
A Fast Two Pass Multi-Value Segmentation Algorithm based on Connected Component Analysis

Connected component analysis (CCA) has been heavily used to label binary images and classify segments. However, it has not been well-exploited to segment multi-valued natural images. This work proposes a novel multi-value segmentation algorithm that utilizes CCA to segment color images. A user defined distance measure is incorporated in the proposed modified CCA to identify and segment similar image regions. The raw output of the algorithm consists of distinctly labelled segmented regions. The proposed algorithm has a unique design architecture that provides several benefits: 1) it can be used to segment any multi-channel multi-valued image; 2) the distance measure/segmentation criteria can be application-specific and 3) an absolute linear-time implementation allows easy extension for real-time video segmentation. Experimental demonstrations of the aforesaid benefits are presented along with the comparison results on multiple datasets with current benchmark algorithms. A number of possible application areas are also identified and results on real-time video segmentation has been presented to show the promise of the proposed method.
Right buddy makes the difference: an early exploration of social relation analysis in multimedia applications

Social media is becoming popular these days, where user necessarily interacts with each other to form social networks. Influence network, as one special case of social network, has been recognized as significantly impacting social activities and user decisions. We emphasize in this paper that the inter-user influence is essentially topic-sensitive, as for different tasks users tend to trust different influencers and be influenced most by them. While existing research focuses on global influence modeling and applies to text-based networks, this work investigates the problem of topic-sensitive influence modeling in the multimedia domain. We propose a multi-modal probabilistic model, considering both users' textual annotation and uploaded visual image. This model is capable of simultaneously extracting user topic distributions and topic-sensitive influence strengths. By identifying the topic-sensitive influencer, we are able to conduct applications like collective search and collaborative recommendation. A risk minimization-based general framework for personalized image search is further presented, where the image search task is transferred to measure the distance of image and personalized query language models. The framework considers the noisy tag issue and enables easy incorporation of social influence. We have conducted experiments on a large-scale Flickr dataset. Qualitative as well as quantitative evaluation results have validated the effectiveness of the topic-sensitive influencer mining model, and demonstrated the advantage of incorporating topic-sensitive influence in personalized image search and topic-based image recommendation.
Towards a Traceable Clinical Guidelines Application

Summary Objectives: The goal of this research is to provide an overall framework to enable modelbased development of clinical guideline-based decision support systems (GBDSSs). The automatically generated GBDSSs are aimed at providing guided support to the physician during the application of guidelines and automatically storing guideline application data for traceability purposes. Methods: The development process of a GBDSS for a guideline is based on modeldriven development (MDD) techniques which allow us to carry out such a process automatically, making development more agile and saving on human resource costs. We use UML Statecharts to represent the dynamics of guidelines and, based on this model, we use a MDD-based tool chain to generate the guideline-dependent components of each GBDSS in an automatic way. In particular, as for the traceability capabilities of each GBDSS, MDD techniques are combined with database schema mappings for metadata management in order to automatically generate the GBDSS-persistent component as one of the main contributions of this paper. Results: The complete framework has been implemented as an Eclipse plug-in named GBDSSGenerator which, starting from the statechart representing a guideline, allows the development process to be carried out automatically by only selecting different menu options the plug-in provides. We have successfully validated our overall approach by generating the GBDSS for different types of clinical guidelines, even for laboratory guidelines. Conclusions: The proposed framework allows the development of clinical guideline-based decision support systems in an automatic way making this process more agile and saving on human resource costs.
Immunohistochemical Detection of Receptor-Associated Protein in Normal Human Brain and Alzheimer's Disease

This study is one of the few to characterize immunohistochemically the distribution and localization of Receptor-Associated Protein (RAP) in human autopsy brain. The results show prominent cortical neuronal localization. RAP is clearly identified in large neuronal dendritic/axonal processes. RAP is expressed in both large pyramidal and smaller interneurons. Occasional, much less frequent RAP is detectable in glial cells in white matter, which appear to be predominantly astrocytic. Although RAP is detectable immunohistochemically in Alzheimer's disease autopsy brain, the level of expression appears significantly reduced relative to age-matched control brains. These results suggest, at the immunohistochemical level, that there is a reduction of RAP protein in Alzheimer's disease brain (cortex). In terms of Alzheimer's disease pathophysiology, a reduction of neuronal RAP could then lead to reduced membrane expression of LRP, since RAP has also been shown to be an LRP antagonist.
Non-negative Matrix Factorization on Manifold

Recently non-negative matrix factorization (NMF) has received a lot of attentions in information retrieval, computer vision and pattern recognition. NMF aims to find two non-negative matrices whose product can well approximate the original matrix. The sizes of these two matrices are usually smaller than the original matrix. This results in a compressed version of the original data matrix. The solution of NMF yields a natural parts-based representation for the data. When NMF is applied for data representation, a major disadvantage is that it fails to consider the geometric structure in the data. In this paper, we develop a graph based approach for parts-based data representation in order to overcome this limitation. We construct an affinity graph to encode the geometrical information and seek a matrix factorization which respects the graph structure. We demonstrate the success of this novel algorithm by applying it on real world problems.