Miracle-dz/UniFAR-FTUs huggingface dataset:
High-Fat Diet Induces Periodontitis in Mice through Lipopolysaccharides (LPS) Receptor Signaling: Protective Action of Estrogens

Background A fat-enriched diet favors the development of gram negative bacteria in the intestine which is linked to the occurrence of type 2 diabetes (T2D). Interestingly, some pathogenic gram negative bacteria are commonly associated with the development of periodontitis which, like T2D, is characterized by a chronic low-grade inflammation. Moreover, estrogens have been shown to regulate glucose homeostasis via an LPS receptor dependent immune-modulation. In this study, we evaluated whether diet-induced metabolic disease would favor the development of periodontitis in mice. In addition, the regulatory role of estrogens in this process was assessed. Methods Four-week-old C57BL6/J WT and CD14 (part of the TLR-4 machinery for LPS-recognition) knock-out female mice were ovariectomised and subcutaneously implanted with pellets releasing either placebo or 17β-estradiol (E2). Mice were then fed with either a normal chow or a high-fat diet for four weeks. The development of diabetes was monitored by an intraperitoneal glucose-tolerance test and plasma insulin concentration while periodontitis was assessed by identification of pathogens, quantification of periodontal soft tissue inflammation and alveolar bone loss. Results The fat-enriched diet increased the prevalence of periodontal pathogenic microbiota like Fusobacterium nucleatum and Prevotella intermedia, gingival inflammation and alveolar bone loss. E2 treatment prevented this effect and CD14 knock-out mice resisted high-fat diet-induced periodontal defects. Conclusions/Significance Our data show that mice fed with a diabetogenic diet developed defects and microflora of tooth supporting-tissues typically associated with periodontitis. Moreover, our results suggest a causal link between the activation of the LPS pathway on innate immunity by periodontal microbiota and HFD-induced periodontitis, a pathophysiological mechanism that could be targeted by estrogens.
A Case For Asynchronous Active Memories

One of the biggest challenges facing modern computer architects is overcoming the memory wall Technology trends dictate that the gap between processor and memory performance is widening Even though good cache behavior mitigates this problem to some extent memory latency remains a critical performance bottleneck in modern high performance processors Al though current high speed systems have improved memory bandwidth by using heavily pipelined clocked architectures these techniques do not improve memory latency and they burden the memory controller designer with a number of complex timing constraints We propose to tackle several challenges facing modern memory system designers by study ing asynchronous active memories pipelined memory systems that do not use clocks for their operation We believe that our approach addresses the shortcomings in current designs and provides the bene ts of simple controller design average case performance and support for non uniform memory access times The latter bene t is the key to transparent support for active memories
"Free-riding" traffic problem in routing overlay networks

In this paper, we discuss the "free-riding" traffic problem in routing overlay networks, which is mainly caused by a policy mismatch between the overlay routing and the underlay IP routing. We first define the free-riding problem in a routing overlay network, and construct mathematical models to calculate the amount of the free-riding traffic in routing overlay networks with various path-selection metrics. We also present the numerical examples to estimate the effects of the overlay routing. We conclude that there can be a significant amount of free-riding traffic in an actual Internet environment.
Pregabalin in Dorsal Root Ganglia and Substantia

7 8 Neuroscience and Mental Health Institute and Department of Pharmacology or Physiology 9 Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Canada T6G 2H7, 10 11 12 Manuscript properties: 10 Figures; 2 Tables; Abstract 245 words; 13 14 15 Running Header: Neuron type specific actions of gabapentinoids 16 17 18 Corresponding author: 19 20 P.A. Smith, 21 Department of Pharmacology, 9-75 Medical Sciences Building, 22 University of Alberta, Edmonton, AB, Canada T6G 2H7 23 E-mail: peter.a. smith@ualberta.ca; Phone; 780 492 2643; FAX;780 492 4325 24 25 26 27 28 4 Present Address: Department of Physiology and Biophysics, Faculty of Medicine, Hotchkiss 29 Brain Institute, University of Calgary, Calgary, Alberta, Canada, H2N 2N1 30 31 5 Present Address: Institute of Pharmacy University of Innsbruck, CCB Center for Chemistry and 32 Biomedicine, Innrain 80-82, A-6020, Innsbruck, Austria 33
Predicting the behavioral impact of transcranial direct current stimulation: issues and limitations

The transcranial application of weak currents to the human brain has enjoyed a decade of widespread use, providing a simple and powerful tool for non-invasively altering human brain function. However, our understanding of current delivery and its impact upon neural circuitry leaves much to be desired. We argue that the credibility of conclusions drawn with transcranial direct current stimulation (tDCS) is contingent upon realistic explanations of how tDCS works, and that our present understanding of tDCS limits the technique’s use to localize function in the human brain. We outline two central issues where progress is required: the localization of currents, and predicting their functional consequence. We encourage experimenters to eschew simplistic explanations of mechanisms of transcranial current stimulation. We suggest the use of individualized current modeling, together with computational neurostimulation to inform mechanistic frameworks in which to interpret the physiological impact of tDCS. We hope that through mechanistically richer descriptions of current flow and action, insight into the biological processes by which transcranial currents influence behavior can be gained, leading to more effective stimulation protocols and empowering conclusions drawn with tDCS.
Study of photovoltaic water pumping system using scalar-DVC based control

This paper aims to achieve a control of a photovoltaic water pumping system. The study consists of a photovoltaic generator, an inverter, an induction motor and a centrifugal pump as mechanical load. The model used for global simulation is a closed loop model: the voltage output of PVG model is coupled with the voltage input of the inverter-induction motor model; the current output of this latter is coupled with the current entry of the PVG. The strategy control proposed in this study consist to i) pumping water with Solar energy, ii) drives the machine in constant flux and variable voltage for this subject a closed loop scalar based control law via a direct voltage control (DVC) inverter is used. The MPPT is given by the theory of conservation of energy ensures the control speed. The induction motor model is based on the classic dynamic model in the dq orthogonal Park reference frame. Simulations results confirm the working of the complete model and the effectiveness, feasibility and limits of such approach.
Adding Process Metrics to Enhance Modification Complexity Prediction

Software estimation is used in various contexts including cost, maintainability or defect prediction. To make the estimate, different models are usually applied based on attributes of the development process and the product itself. However, often only one type of attributes is used, like historical process data or product metrics, and rarely their combination is employed. In this report, we present a project in which we started to develop a framework for such complex measurement of software projects, which can be used to build combined models for different estimations related to software maintenance and comprehension. First, we performed an experiment to predict modification complexity (cost of a unity change) based on a combination of process and product metrics. We observed promising results that confirm the hypothesis that a combined model performs significantly better than any of the individual measurements.
Developing the Concept of Asymmetrical and Symmetrical Relationships : Linking Relationship Characteristics and Firms ’ Capabilities

The concept of asymmetrical and symmetrical relationships is not one that has been well-defined in industrial marketing literature. Although various authors have pinned this title on relationships where there is an imbalance in one or a few characteristics, such as commitment, power or dependence (e.g. Gundlach, Achrol and Mentzer, 1995; Söllner, 1998), knowledge or initiation of change (Holmlund and Kock, 1996), there is yet no clear definition of what constitutes an asymmetrical or symmetrical relationship or what these types of relationships mean for the firms involved.
Prototype of channel coding algorithms for digital signal processing board

This paper presents a prototype of the channel coding algorithms with a baseband modem for TMS320C6713 implementation purpose. It is essential to use channel coding in baseband signal in order to reduce the error of the received signal. In this study, convolutional code (CC) is selected to be the type of channel coding and Viterbi decoder for decoding method. The parameters that have been analyzed in the research are constraint length, modulation techniques and decoding decision. The baseband modem with channel coding is simulated in Additive White Gaussian Noise (AWGN) and the performances of each parameter are compared in terms of Bit Error Rate (BER) with theoretical values. Results from the simulation of the proposed baseband modem are in line with the theoretical results. The successful in uploading process for the baseband modem model into TMS320C6713 DSP Starter Kit (DSK) indicates the model is suitable for implementation purpose and further improvements need to be made in the next research in order to validate the implementation results.
Infrequent Co-conversion of Markers Flanking a Meiotic Recombination Initiation Site in Saccharomyces cerevisiae

To study the mechanism of meiotic recombination in Saccharomyces cerevisiae, we examined recombination in an interval where the majority of events are initiated at a single hotspot for DNA double-strand breaks (DSBs), with little or no expected contribution by outside initiation events. This interval contained infrequently corrected palindromic markers 300 bp to the left and 600 bp to the right of the DSB hotspot. Conversion of single markers occurred frequently, while conversion of both markers occurred rarely, and many of the tetrads in which both markers converted were the products of multiple events. These data indicate that most meiotic recombination intermediates are asymmetrically positioned around the initiating DSB, with a short (<300 bp) tract of heteroduplex DNA (hDNA) to one side and hDNA on the other side frequently extending 600 bp or more. One consequence of this asymmetry is the preferential concentration of crossovers in the vicinity of the initiating DSB.
BIGDATA: Small: DA: DCM: Low-memory Streaming Prefilters for Biological Sequencing Data

We will soon be able to exhaustively sequence the DNA and RNA of entire communities of bacteria, as well as every individual cell of a tumor. Both of these very different applications of sequencing share in the need to rapidly and efficiently sort through large amounts of noisy sequence data (dozens to 100s of terabases) to separate signal from noise and produce biological insight. However, current bioinformatic approaches for extracting information from this data cannot easily handle the vast amounts of data being acquired. The primary challenges in processing this sequence data are twofold: the relatively high error rate of 0.1-1%, per base, and the volume of data we can now easily acquire with sequencers such as Illumina HiSeq. For years, sequencing capacity has been doubling every 6 months – significantly faster than compute capacity. Since almost all extant bioinformatic analysis approaches require multiple passes across the primary data, and many analysis algorithms have not been parallelized, bioinformatic analysis capacity continues to lag ever further behind data generation capacity. In addition, many of the existing software packages cannot easily be retooled to take advantage of manycore or GPU algorithms, and hence will not take advantage of expected advances in compute capacity and cyberinfrastructure We propose to develop and implement novel streaming approaches for lossy compression and error correction in shotgun sequencing data. Our algorithms are few-pass (< 2), require no sample-specific information, and can be implemented in fixed or low memory; moreover, they are amenable to parallelization and can run efficiently in manycore environments. When implemented as a prefilter to existing analysis packages, our approaches will eliminate or correct the majority of errors in data sets, dramatically reducing the computational space and time requirements for downstream analysis using existing packages. Moreover, we will provide novel capability by extending error correction approaches to mRNAseq and metagenomic data sets. Intellectual Merit: We will develop a range of algorithms for space-and time-efficient compression and error correction of short-read DNA and RNA sequence data. These strategies will substantially increase the scalability of many downstream analysis applications, ranging from community analysis of metagenomes to resequencing analysis of humans. We will provide analyses describing the tradeoffs between space and time efficiency and sensitivity, and deliver tested, documented reference implementations of our approaches that can be used by the community for practical evaluation and incorporation into analysis tools. Our approaches will significantly impact short-read sequence analysis by …
Characterization of T-Cell Responses to Conserved Regions of the HIV-1 Proteome in BALB/c Mice

ABSTRACT A likely requirement for a protective vaccine against human immunodeficiency virus type 1 (HIV-1)/AIDS is, in addition to eliciting antibody responses, induction of effective T cells. To tackle HIV-1 diversity by T-cell vaccines, we designed an immunogen, HIVconsv, derived from the most functionally conserved regions of the HIV-1 proteome and demonstrated its high immunogenicity in humans and rhesus macaques when delivered by regimens combining plasmid DNA, nonreplicating simian (chimpanzee) adenovirus ChAdV-63, and nonreplicating modified vaccinia virus Ankara (MVA) as vectors. Here, we aimed to increase the decision power for iterative improvements of this vaccine strategy in the BALB/c mouse model. First, we found that prolonging the period after the ChAdV63.HIVconsv prime up to 6 weeks increased the frequencies of HIV-1-specific, gamma interferon (IFN-γ)-producing T cells induced by the MVA.HIVconsv boost. Induction of strong responses allowed us to map comprehensively the H-2d-restricted T-cell responses to these regions and identified 8 HIVconsv peptides, of which three did not contain a previously described epitope and were therefore considered novel. Induced effector T cells were oligofunctional and lysed sensitized targets in vitro. Our study therefore provides additional tools for studying and optimizing vaccine regimens in this commonly used small animal model, which will in turn guide vaccine improvements in more expensive nonhuman primate and human clinical trials.
Compliance Defects in Public Key Cryptography

Public-key cryptography has low infrastructural overhead because public-key users bear a substantial but hidden administrative burden. A public-key security system trusts its users to validate each others' public keys rigorously and to manage their own private keys securely. Both tasks are hard to do well, but public-key security systems lack a centralized infrastructure for enforcing users' discipline. A compliance defect in a cryptosystem is such a rule of operation that is both difficult to follow and unenforceable. This paper presents five compliance defects that are inherent in public-key cryptography; these defects make public-key cryptography more suitable for server-to-server security than for desktop applications.
THE EFFECT OF LEARNING STYLE, HOME ENVIRONMENT AND SCHOOL ENVIRONMENT ON ACADEMIC ACHIEVEMENT OF NINTH STANDARD STUDENTS OF ENGLISH MEDIUM SCHOOLS OF RAIPUR CITY - A STUDY

This paper focuses on learning style, school environment and home environment in relation to academic achievement. The research was carried out in Raipur city on a sample of 50 IX standard students. Learning styles of students was measured by Styles of Learning and Thinking (SOLAT) by D. Venkataraman. Home Environment and School Environment was measured by the Inventory prepared by Dr. Karuna Shankar Mishra. The research finding revealed that there is very low, negative & negligible relationship between academic achievement & home environment. Study also revealed that school environment and academic achievement have positive but very low relationship. It is also found that there is significant difference between the academic achievement of students learned by right & left hemisphere but there is no significant difference between the academic achievement of boys & girls students learned either by right hemisphere or left hemisphere. Article visualizations:
Coactivators enable glucocorticoid receptor recruitment to fine-tune estrogen receptor transcriptional responses

Nuclear receptors (NRs) are central regulators of pathophysiological processes; however, how their responses intertwine is still not fully understood. The aim of this study was to determine whether and how steroid NRs can influence each other’s activity under co-agonist treatment. We used a unique system consisting of a multicopy integration of an estrogen receptor responsive unit that allows direct visualization and quantification of estrogen receptor alpha (ERα) DNA binding, co-regulator recruitment and transcriptional readout. We find that ERα DNA loading is required for other type I nuclear receptors to be co-recruited after dual agonist treatment. We focused on ERα/glucocorticoid receptor interplay and demonstrated that it requires steroid receptor coactivators (SRC-2, SRC-3) and the mediator component MED14. We then validated this cooperative interplay on endogenous target genes in breast cancer cells. Taken together, this work highlights another layer of mechanistic complexity through which NRs cross-talk with each other on chromatin under multiple hormonal stimuli.
Multipath Congestion Control for Shared Bottleneck

Multipath transport protocols, which transmit data over multiple distinct paths in an end-to-end connection are introduced. However, they have a problem in terms of fairness. When the transmissions along several paths share the same bottleneck link, the multipath connection receives higher throughput than a competing regular TCP flow, because it executes congestion control per path with the same algorithm as TCP. We investigate a congestion control scheme that addresses this problem with the weighted congestion control approach. In our scheme, an end-to-end connection that uses flows along multiple paths can fairly compete with TCP flows at the shared bottleneck. Our scheme also maximizes the utilization of different path characteristics, such as bandwidth capacity and RTT. Our simulation results show that a bundle of multiple flows based on our scheme fairly competes with TCP flows at the shared bottleneck.
Sex and age differences in lipoprotein subclasses measured by nuclear magnetic resonance spectroscopy: the Framingham Study.

BACKGROUND The sex differential in coronary heart disease (CHD) risk, which is not explained by male/female differences in lipid and lipoprotein concentrations, narrows with age. We examined whether this differential CHD risk might, in part, be attributable to the sizes of lipoprotein particles or concentrations of lipoprotein subclasses. METHODS We analyzed frozen plasma samples from 1574 men and 1692 women from exam cycle 4 (1988-1990) of the Framingham Offspring Study. Nuclear magnetic resonance (NMR) spectroscopy was used to determine the subclass concentrations and mean sizes of VLDL, LDL, and HDL particles. Concentrations of lipids and apolipoproteins were measured by standard chemical methods. RESULTS In addition to the expected sex differences in concentrations of triglycerides, LDL-cholesterol, and HDL-cholesterol, women also had a lower-risk subclass profile consisting of larger LDL (0.4 nm) and HDL (0.5 nm) particles. The sex difference was most pronounced for HDL, with women having a twofold higher (8 vs 4 micromol/L) concentration of large HDL particles than men. Furthermore, similar to the narrowing of the sex difference in CHD risk with age, the observed male/female difference in HDL particle size also decreased with age. Although lipoprotein particle sizes were highly correlated with lipid and lipoprotein concentrations, the sex differences in the mean sizes of lipoprotein particles persisted (P <0.001) even after adjustment for lipid and lipoprotein concentrations. CONCLUSIONS Women have a less atherogenic subclass profile than men, even after accounting for differences in lipid concentrations.
Contato com a realidade, crenças, ilusões e superstições: Possibili- dades do analista do comportamento Contact with reality, beliefs, illusions and superstitions: Possibilities for the behavior analyst

The article discusses the contributions of behavior analysis to understand the con - cepts of reality, contact with reality and distortions of reality. The discussion about contact and reality is concept referring to the construction of behavioral relations, especially relations identified with the construction of the concept of causality of people. Sensitivity to subse - quent events is important as a prerequisite for building operant behavior; such sensitivity may be responsible for superstitious behaviors. With verbal behavior, people can also describe certain relations based in contiguity between events and environmental changes as they are relations based in contingency, which has been called superstitious rules. In conclusion, the article shows the importance of differentiating between superstitious behavior, superstitious rules and superstition, showing, however, situations in which verbal behavior can interact with superstitious behavior.
Matter Waves in Anharmonic Periodic Potentials

Tristram J. Alexander, Mario Salerno, Elena A. Ostrovskaya, and Yuri S. Kivshar Nonlinear Physics Center and ARC Center of Excellence for Quantum-Atom Optics, Research School of Physical Sciences and Engineering, Australian National University, Canberra ACT 0200, Australia Dipartimento di Fisica, “E.R. Cainiello” Università di Salerno, I-84081 Baronissi (SA), Italy Received 16 November 2007; published 4 April 2008
A Tabular Method for Verification of Data Exchange Algorithms on Networks of Parallel Processors

A tabular method for verification of data exchange algorithms on networks which possess a certain symmetry (whose underlying graph is a Cayley graph) is given. The algorithms use no intermediate buffering of messages.To illustrate this method, optimal total exchange (i.e., all-to-all personalised) algorithms are given for several much-used processor configurations, such as ring networks, the hypercube and symmetric meshes with wrap-around (two and three-dimensional). To the best of our knowledge the latter are new.
An ontology for Multi-Agent Domain and Application Engineering

The application of ontologies in Software Engineering presents several advantages. Ontologies allow for the formalized and integrated representation of models and their documentation in a same knowledge base, making the selection of these artifacts more precise through semantics inferences. They are also easily expandable and integrable. This paper introduces ONTORMAS, an ontology-driven tool for multi-agent systems development which integrates concepts from Multi-agent Domain and Application Engineering following the guidelines of the MADEM and MAAEM methodologies.