Miracle-dz/UniFAR-FTUs huggingface dataset:
Information Grid Instant Service and its application in tourism

Today more and more people are willing to travel, and the number of tourist in our country is increased averagely by 8% every year. In the meantime, many of them often cannot get corresponding service for their spending and be cheated. The main reason is that they usually know little about the place, especially its present circumstance, and the information is not symmetry between provider and consumer. In order to present tourist better information service and let them know much valuable information especially present conditions about the scenic spot, hotel, airlines and so on, an information grid instant service system is proposed in this paper. It is given first the information grid instant service's infrastructure; then the information grid instant service meta-model and user characteristic information obtaining and adjusting profile are explained. Afterwards, framework of information grid instant service is proposed. Also, the system model verification and system experiment are discussed. For verification, a two-player game simulation is presented.
Dietary flavonoid intake and the risk of stroke: a dose-response meta-analysis of prospective cohort studies

Objective To clarify and quantify the potential association between intake of flavonoids and risk of stroke. Design Meta-analysis of prospective cohort studies. Data source Studies published before January 2016 identified through electronic searches using PubMed, Embase and the Cochrane Library. Eligibility criteria for selecting studies Prospective cohort studies with relative risks and 95% CIs for stroke according to intake of flavonoids (assessed as dietary intake). Results The meta-analysis yielded 11 prospective cohort studies involving 356 627 participants and more than 5154 stroke cases. The pooled estimate of the multivariate relative risk of stroke for the highest compared with the lowest dietary flavonoid intake was 0.89 (95% CI 0.82 to 0.97; p=0.006). Dose-response analysis indicated that the summary relative risk of stroke for an increase of 100 mg flavonoids consumed per day was 0.91 (95% CI 0.77 to 1.08) without heterogeneity among studies (I2=0%). Stratifying by follow-up duration, the relative risk of stroke for flavonoid intake was 0.89 (95% CI 0.81 to 0.99) in studies with more than 10 years of follow-up. Conclusions Results from this meta-analysis suggest that higher dietary flavonoid intake may moderately lower the risk of stroke.
A control theory approach for real-time animation of artificial agents

We propose basic mechanisms in support to autonomous, artificial animated agents. We use an approach based on robotics control theory, dealing with physics constraints and dynamics and kinematics issues, providing a well structured way to control the agent resources. We validate the mechanisms by presenting three computer animated platforms with different structures (sensors, actuators, and dynamics) which have used them. As a practical result, our animated agents are able to perform different tasks on the top of the same control structure.
ZUR LASTKOMBINATIONSREGEL NACH DIN 18 800 TEIL 1

Die Lastkombinationsregel in der neuen DIN 18800 Teil 1, nach der bei 2 und mehr veraenderlichen Lasten ein Kombinationsfaktor von 0,9 anzusetzen ist, liefert sehr konservative Bemessungsergebnisse. Mit Methoden der Zuverlaessigkeitstheorie wird ein neues Kombinationsgesetz begruendet. Danach ist die groesste veraenderliche Einwirkung (gemessen am Einfluss auf den jeweiligen Nachweis) voll anzusetzen, weitere veraenderliche Einwirkungen duerfen auf 50 Prozent abgemindert werden. (A*)
Features of spherical particle dynamics near a plane electrode of vacuum gap in an increasing electric field

The paper reports on numerical simulation of dynamics of a spherical particle escaped from one of the electrodes of a vacuum gap at an increasing electric field. It is shown that at a sufficiently high rate of rise of the electric field strength, the particle can be held for a time at the electrode by electrostatic force. During this time, the particle makes small jumps which involve spikes of local field strength (up to 3 - 4 GV/m) and field emission current in the space between the particle and the electrode. The possibility of activation of emission sites and initiation of vacuum breakdown on particle detachment from the electrode is discussed.
In-canopy gas-phase chemistry during CABINEX 2009: Sensitivity of a 1-D canopy model to vertical mixing and isoprene chemistry

Vegetation emits large quantities of biogenic volatile organic compounds (BVOC). At remote sites, these compounds are the dominant precursors to ozone and sec- ondary organic aerosol (SOA) production, yet current field studies show that atmospheric models have difficulty in cap- turing the observed HOx cycle and concentrations of BVOC oxidation products. In this manuscript, we simulate BVOC chemistry within a forest canopy using a one-dimensional canopy-chemistry model (Canopy Atmospheric CHemistry Emission model; CACHE) for a mixed deciduous forest in northern Michigan during the CABINEX 2009 campaign. We find that the base-case model, using fully-parameterized mixing and the simplified biogenic chemistry of the Re- gional Atmospheric Chemistry Model (RACM), underesti- mates daytime in-canopy vertical mixing by 50-70 % and by an order of magnitude at night, leading to discrepancies in the diurnal evolution of HOx, BVOC, and BVOC oxidation products. Implementing observed micrometeorological data from above and within the canopy substantially improves the diurnal cycle of modeled BVOC, particularly at the end of the day, and also improves the observation-model agreement for some BVOC oxidation products and OH reactivity. We compare the RACM mechanism to a version that includes the Mainz isoprene mechanism (RACM-MIM) to test the model sensitivity to enhanced isoprene degradation. RACM-MIM simulates higher concentrations of both primary BVOC (iso- prene and monoterpenes) and oxidation products (HCHO, MACR+MVK) compared with RACM simulations. Addi- tionally, the revised mechanism alters the OH concentrations and increases HO2. These changes generally improve agree- ment with HOx observations yet overestimate BVOC oxida- tion products, indicating that this isoprene mechanism does not improve the representation of local chemistry at the site. Overall, the revised mechanism yields smaller changes in
The Randomized Registry Trial: Two Birds, One Stone.

B ecause healthcare in the United States has become more valuebased, patients, providers, and other stakeholders urgently need more high-quality clinical evidence. Such evidence can inform clinical decisions, guide healthcare policies, evaluate care quality, and, ultimately, provide and assess value. Randomized clinical trials (RCTs) represent a criterion standard for evidence because of their ability to remove systematic biases and enhance insights into causality. Their complexity, need for scale, difficulties in patient and provider accrual, and immense costs, however, hamper their performance and completion. To overcome some of the challenges facing RCTs, trialists have recently begun to seek other ways to attain evidence. One such strategy is to leverage the abundance of clinical registries as data platforms for clinical trials. The registry-based randomized trial, or randomized registry trial (RRT), aims to approach the statistical rigor of randomization, whereas expediting and enhancing patient enrollment, minimizing cost, and addressing the generalizability of findings (Table 1). The first published RRT was conducted in Sweden. In less than 3 years, 7244 patients across 3 countries in more than 30 sites were randomized. The trial was estimated to have costed only $50 per patient. The first RRT in the United States was the Study of Access Site for Enhancement of Percutaneous Coronary Intervention (SAFE-PCI) for Women Trial, conducted with the National Institutes of Health National Cardiovascular Data Registry CathPCI Registry platform. In this pragmatic, open-label trial, women were randomized to percutaneous coronary intervention via radial versus femoral access to compare postprocedure bleeding. Using the registry, high-volume hospitals with physicians proficient at both radial and femoral access were identified and recruited. The trial reached 99.2% accrual in only 22 months. Registry data were copied into each participant’s electronic trial case report and supplemented with trial-specific data by each site’s trial coordinator, reducing the coordinator’s workload by approximately 65%. Registry abstractors and site trial coordinators collaborated closely. The registry abstractors accelerated their workflow to ensure timely collection of data for patient safety monitoring. An independent Data and Safety Monitoring Committee reviewed data on a quarterly basis, and all participating sites received
Pilot randomized controlled trial investigating cognitive strategy use to improve goal performance after stroke.

OBJECTIVE The authors compared changes in client performance on three goals poststroke after the Cognitive Orientation to daily Occupational Performance (CO-OP) intervention or standard occupational therapy (SOT) to determine the magnitude and direction of change. METHOD Eight people living in the community following a stroke were randomly assigned to receive CO-OP (n = 4) or SOT (n = 4). CO-OP is a 10-session, cognitive-oriented approach to improving performance that uses client-driven cognitive strategies. SOT was therapist driven and combined task-specific and component-based training. Goal performance was measured by the therapist-rated Performance Quality Rating Scale (PQRS) and the participant-rated Canadian Occupational Performance Measure (COPM). RESULTS Using Mann-Whitney U test, we found that CO-OP participants showed significantly greater improvement in performance (PQRS, p = .02; COPM Performance, p = .02) compared with SOT but no improvement in satisfaction (COPM Satisfaction, p = .38). CONCLUSION The CO-OP group demonstrated larger performance improvements than the SOT group. Because of the promising results, an investigation using a larger sample is warranted.
Reporting quality of randomized controlled trials in orthodontics--what affects it and did it improve over the last 10 years?

INTRODUCTION Objectives were to investigate the factors affecting the overall reporting quality and the reporting quality trend of each item over the last 10 years for orthodontic randomized controlled trials (RCTs). MATERIAL AND METHODS MEDLINE, The Cochrane Library, and EMBASE databases were searched (2003-12) to retrieve studies. Four major orthodontic journals and reference list of included articles were hand searched to identify additional RCTs. The overall reporting quality for all included RCTs (2003-12) was assessed using CONSORT, 2001 (ORQs 2001, score 0-20). In addition, CONSORT, 2010 (ORQs 2010, score 0-27), was used for RCTs published after 2010. Generalized estimated equations (GEEs) model was used for analysis (ORQs 2001 and ORQs 2010). Cochran-Armitage trend test was used to evaluate the reporting quality trend of each individual item based on the CONSORT, 2001. RESULTS Totally 309 relevant studies were identified, out of which 86 were published after 2010. The median for total ORQs 2001 and ORQs 2010 was 9 (interquartile range 7-12) and 12 (interquartile range 9-15), respectively. Year and journal of publication were significant predictors for both ORQs 2001 and ORQs 2010. Location, sample size, and multicentre trials were significant predictors only for ORQs 2001, and not for ORQs 2010. Trend test showed that reporting quality of four items, namely identification of trial as randomized, sample size, blinding, and randomization has improved significantly with time. CONCLUSION There is an improvement in the reporting quality. However, it is still suboptimal. To improve the reporting quality, the CONSORT guidelines should be followed strictly.
Research Note - IT Outsourcing and the Impact of Advisors on Clients and Vendors

There is significant information asymmetry in the information technology (IT) outsourcing market. Clients are uncertain about vendors’ capabilities and vendors are uncertain about clients’ requirements. Prior literature has examined many devices to reduce such information asymmetry, e.g., vendor reputation, client-vendor prior relationship, vendors’ Capability Maturity Model (CMM) rating, vendor location, and technological diversity of the vendor. We examine the impact of (to our knowledge) a hitherto unconsidered device, i.e., the use of an advisor. In the context of global sourcing, third-party advisors, with their accumulated knowledge of client requirements and the vendor landscape, can mitigate the information asymmetry between clients and vendors. However, in an extensive data set of IT outsourcing contracts going back two decades we found use of advisors to be rare (less than 5% of contracts go through an advisor). This motivates us to rigorously analyze their impact on clients and vendors as an open empirical question. Using a data set of 753 large IT outsourcing contracts, and through a series of econometric specifications and robustness tests, we establish that the presence of an advisor is associated with higher revenue for vendors and more positive contract outcomes. This analysis presents what is to our knowledge the first concrete evidence that third-party advisors can mitigate the information asymmetry in the IT outsourcing market and lead to better matching that benefits clients as well as vendors.
CD40-CD40 Ligand Costimulation Is Not Required for Initiation and Maintenance of a Th1-Type Response to Leishmania major Infection

ABSTRACT Although previous studies demonstrated a requirement for CD40-CD40 ligand (CD40L) interaction in the development of resistance to Leishmania infection, we recently showed that mice lacking the gene for CD40L (CD40L−/− mice) can control Leishmania major infection when they are infected with reduced numbers of parasites. In this study, we examine the cytokine pattern in healing versus nonhealing CD40L−/− mice and investigated whether CD40 activation is required for resistance to reinfection. We observed that CD4+ cells in healed CD40L−/− mice produce high levels of gamma interferon compared to cells from nonhealing, high-dose-inoculated mice. In addition, we observed a higher frequency of interleukin-12 (IL-12)- producing cells and a reduced number of IL-4-producing cells in mice infected with reduced numbers of parasites. Importantly, we found that healed CD40L−/− mice are highly resistant to reinfection with a large parasite inoculum. In addition, by comparing the cytokine patterns at an early and late stage of infection in nonhealing CD40L−/− mice, we demonstrated that nonhealing CD40L−/− mice produce a weak Th1-type response during the early stage of infection, but this response wanes as a Th2-type response emerges during late stages of infection. Anti-IL-4 antibody treatment, starting either at the beginning of infection or at week 4 postinfection enabled CD40L−/− mice to control a high-dose infection. Together, these results show that CD40-CD40L interaction, although important for IL-12 production in high-dose infections, is not required for either the development or maintenance of resistance in mice infected with reduced numbers of parasites.
Differential Expression of Genes Important for Adaptation in Capsella bursa-pastoris (Brassicaceae)1[W][OA]

Understanding the genetic basis of natural variation is of primary interest for evolutionary studies of adaptation. In Capsella bursa-pastoris, a close relative of Arabidopsis (Arabidopsis thaliana), variation in flowering time is correlated with latitude, suggestive of an adaptation to photoperiod. To identify pathways regulating natural flowering time variation in C. bursa-pastoris, we have studied gene expression differences between two pairs of early- and late-flowering C. bursa-pastoris accessions and compared their response to vernalization. Using Arabidopsis microarrays, we found a large number of significant differences in gene expression between flowering ecotypes. The key flowering time gene FLOWERING LOCUS C (FLC) was not differentially expressed prior to vernalization. This result is in contrast to those in Arabidopsis, where most natural flowering time variation acts through FLC. However, the gibberellin and photoperiodic flowering pathways were significantly enriched for gene expression differences between early- and late-flowering C. bursa-pastoris. Gibberellin biosynthesis genes were down-regulated in late-flowering accessions, whereas circadian core genes in the photoperiodic pathway were differentially expressed between early- and late-flowering accessions. Detailed time-series experiments clearly demonstrated that the diurnal rhythm of CIRCADIAN CLOCK-ASSOCIATED1 (CCA1) and TIMING OF CAB EXPRESSION1 (TOC1) expression differed between flowering ecotypes, both under constant light and long-day conditions. Differential expression of flowering time genes was biologically validated in an independent pair of flowering ecotypes, suggesting a shared genetic basis or parallel evolution of similar regulatory differences. We conclude that genes involved in regulation of the circadian clock, such as CCA1 and TOC1, are strong candidates for the evolution of adaptive flowering time variation in C. bursa-pastoris.
Introduction to indexing and abstracting

Read more and get great! That's what the book enPDFd introduction to indexing and abstracting will give for every reader to read this book. This is an on-line book provided in this website. Even this book becomes a choice of someone to read, many in the world also loves it so much. As what we talk, when you read more every page of this introduction to indexing and abstracting, what you will obtain is something great.
An Iterative Approach to Eigenvalue Assignment for Nonlinear Systems.

In this paper, the authors present a method of eigenvalue assignment for nonlinear systems. A time-varying approach to nonlinear exponential stability via eigenvalue placement is studied based on an iteration technique that approaches a nonlinear system by a sequence of LTV equations. The convergent behavior of this method is shown and applied to a practical example to illustrate these ideas
Computer Security, Privacy, and DNA Sequencing: Compromising Computers with Synthesized DNA, Privacy Leaks, and More

The rapid improvement in DNA sequencing has sparked a big data revolution in genomic sciences, which has in turn led to a proliferation of bioinformatics tools. To date, these tools have encountered little adversarial pressure. This paper evaluates the robustness of such tools if (or when) adversarial attacks manifest. We demonstrate, for the ﬁrst time, the synthesis of DNA which—when sequenced and processed—gives an attacker arbitrary remote code execution. To study the feasibility of creating and synthesizing a DNA-based exploit, we performed our attack on a modiﬁed downstream sequencing utility with a deliberately introduced vulnerability. After sequencing, we observed information leakage in our data due to sample bleeding. While this phenomena is known to the sequencing community, we provide the ﬁrst discussion of how this leakage channel could be used adversarially to inject data or reveal sensitive information. We then evaluate the general security hygiene of common DNA processing programs, and unfortunately, ﬁnd concrete evidence of poor security practices used throughout the ﬁeld. Informed by our experiments and results, we develop a broad framework and guidelines to safeguard security and privacy in DNA synthesis, sequencing, and processing.
Estimating Demand for Mobile Applications in the New Economy

In 2013, the global mobile app market was estimated at over US$50 billion and is expected to grow to $150 billion in the next two years. In this paper, we build a structural econometric model to quantify the vibrant platform competition between mobile smartphone and tablet apps on the Apple iOS and Google Android platforms and estimate consumer preferences toward different mobile app characteristics. We find that app demand increases with the in-app purchase option wherein a user can complete transactions within the app. On the contrary, app demand decreases with the in-app advertisement option where consumers are shown ads while they are engaging with the app. The direct effects on app revenue from the inclusion of an in-app purchase option and an in-app advertisement option are equivalent to offering a 28% price discount and increasing the price by 8%, respectively. We also find that a price discount strategy results in a greater increase of app demand in Google Play compared with Apple App Store, and app developers can maximize their revenue by providing a 50% discount on their paid apps. Using the estimated demand function, we find that mobile apps have enhanced consumer surplus by approximately $33.6 billion annually in the United States, and we discuss various implications for mobile marketing analytics, app pricing, and app design strategies. This paper was accepted by Alok Gupta, special issue on business analytics.
Décisions dans l'incertain d'un ménage et dynamique de ses comportements automobiles

Au cours des dernieres quarante annees un grand nombre d'etudes ont analyse les comportements de possession et utilisation des vehicules. Cependant, la plupart de ces etudes traitent le probleme d'un point de vue statique, en omettant les dynamiques qui vraisemblablement guident ces decisions. Le caractere durable des vehicules suggere l'importance de ne pas ignorer l'aspect dynamique des problemes d'achat, possession et utilisation automobile. Ce travail utilise une approche desagregee structurelle, basee sur des choix. Le document est compose de trois parties. La premiere propose une description du probleme, par l'analyse de la litterature existante. La seconde presente les operations preliminaires effectuees sur la base "Parc Auto" pour pouvoir l'utiliser comme panel de vehicules. La derniere partie a pour objectif d'introduire les quatre applications realisees au cours de ma these de doctorat. Une premiere application propose une approche hedoniste des prix des vehicules. Le deuxieme chapitre de cette derniere partie estime un modele de Rust pour des menages mono-equipes (c'est a dire une seule voiture a disposition par annee) les decisions concernant leur voiture. Un modele dynamique discret\continu des choix de la duree de possession et d'utilisation des vehicules pour des agents tant myopes que prevoyants. Le dernier chapitre presente un programme dynamique tourne vers le futur pour le probleme de la planification des achats. Dans les trois applications, un facteur d'actualisation est utilise pour tester differents hypotheses de comportement dynamique. Mes resultats indiquent que la preference temporelle d'un menage est un element crucial dans etude de ces decisions.
Impact of low-precision deep regression networks on single-channel source separation

Recent work on developing training methods for reduced precision Deep Convolutional Networks show that these networks can perform with similar accuracy to full precision networks when tested on a classification task. Reduced precision networks decrease the demand on the memory and computational power capabilities of the computing platform. This paper investigates the impact of reduced precision deep Recurrent Neural Networks (RNNs) when trained on a regression task, in this case, a monaural source separation task. The effect of reduced precision nets is explored for two popular recurrent network architectures: Vanilla RNNs and RNNs using Long-Short Term Memory (LSTM) units. The results show that the performance of the networks as measured by blind source separation metrics and speech intelligibility tests on two datasets, show very little decrease even when the weight precision goes down to 4 bits.