Miracle-dz/UniFAR-FTUs huggingface dataset:
RBF :

Object-based storage systems (OSS) have evolved from the traditionally unintelligent management to intelligent an d selfmanaged schemes by delegating low-level management activi ties to storage devices, and providing new functionalities , such as greater scalability and dynamic reconfiguration. An obje ct consists of data, user-accessible attributes and device-m anaged metadata, which is responsible for mapping data structures , such as files and directories, to blocks on storage devices. Such metadata usually contains multidimensional informat ion for representing the mapping relationship with objects tha t have both physical and logical attributes, such as access ti me, data size, request amount, access pattern, and QoS agreemen t. Thus, substantial storage space has to be used to store multi dimensional metadata, along with highly complicated operati ons of querying multidimensional metadata, due to complex data organization structures. Common query operations, mainly including point query and range query that are independent of the underlying data layout, allow one to search objects that have multidimensio nal attributes, with the help of multidimensional metadata. • Point query determines whether a given object is a member of a data set. For example, a request of point query for multidimensional metadata may wish to know whether an object with “ID=xyz” and “data size=100GB” attributes is a member of the current storage system. • Range query obtains all objects whose attribute values exist within the ranges of a query request. For example, a request of range query for multidimensional metadata may wish to know all the objects having “data size >150GB” and “access time <20:00” attributes.
Epistemische Überzeugungen Lehramtsstudierender

einer wiss. Studie Text 1: Lernen mit Worked out Examples Text 2: Kognitive Theorie des multimedialen Lernens Text 3: Big-Fish-Little-Pond-Effekt Text 4: Bullying/Mobbing Text 5: Inklusion Text 6: Ganztagesbetreuung Text 1: Lernen mit Worked out Examples Text 2: Kognitive Theorie des multimedialen Lernens Text 3: Big-Fish-Little-Pond-Effekt Text 4: Bullying/Mobbing Text 5: Inklusion Text 6: Ganztagesbetreuung Mayer-Rosman_Denken ueber_Inhalt. indd 9
Exploiting virtual experiments for the solution of inverse scattering problem

In this paper we review the rationale and the outcomes of a new way of thinking we have recently introduced for solving inverse scattering problems, that is the `virtual experiments' framework. Such a kind of experiments allows us to derive three powerful inversion approaches for the overcoming of some intrinsic difficulties of the problem. Their effectiveness is demonstrated by means of some numerical examples.
Personalized Event Recommendations Using Social Networks

In recent years we have observed a significant increase in the popularity of location-based social networks for exchanging news and experiences, sharing location information, or publishing real world events. One important challenge in such networks is to understand human crowd mobility behavior based on user social activities and interactions. In this paper we introduce PRESENT, our middleware that utilizes a Mixed Markov Model to extract the behavioral patterns of the users in social groups, to make personalized event recommendations. Our detailed experimental evaluation, using data from the Meet up location-based social network, illustrates that our approach is efficient, practical and achieves an average prediction for the user attendance of over 73%.
Transforming Java programs for concurrency using Double-Checked Locking pattern

Java provides a synchronized construct for multi-core programming with many workloads. However, naïve use of the synchronized construct causes performance scalability problems due to lock contention. One of the sources of lock contentions is a synchronized collection class. There are known concurrency code patterns to alleviate lock contentions such as a Concurrent Collection (CC), Read-Write Lock (RWL), and Double-Checked Locking (DCL). To date, there is no algorithm to transform a program using DCL. This paper describes steps on how to rewrite synchronized blocks using DCL.
Functional Genomics in Chickens: Development of Integrated-Systems Microarrays for Transcriptional Profiling and Discovery of Regulatory Pathways

The genetic networks that govern the differentiation and growth of major tissues of economic importance in the chicken are largely unknown. Under a functional genomics project, our consortium has generated 30 609 expressed sequence tags (ESTs) and developed several chicken DNA microarrays, which represent the Chicken Metabolic/Somatic (10 K) and Neuroendocrine/Reproductive (8 K) Systems (http://udgenome.ags.udel.edu/cogburn/). One of the major challenges facing functional genomics is the development of mathematical models to reconstruct functional gene networks and regulatory pathways from vast volumes of microarray data. In initial studies with liver-specific microarrays (3.1 K), we have examined gene expression profiles in liver during the peri-hatch transition and during a strong metabolic perturbation—fasting and re-feeding—in divergently selected broiler chickens (fast vs. slow-growth lines). The expression of many genes controlling metabolic pathways is dramatically altered by these perturbations. Our analysis has revealed a large number of clusters of functionally related genes (mainly metabolic enzymes and transcription factors) that control major metabolic pathways. Currently, we are conducting transcriptional profiling studies of multiple tissues during development of two sets of divergently selected broiler chickens (fast vs. slow growing and fat vs. lean lines). Transcriptional profiling across multiple tissues should permit construction of a detailed genetic blueprint that illustrates the developmental events and hierarchy of genes that govern growth and development of chickens. This review will briefly describe the recent acquisition of chicken genomic resources (ESTs and microarrays) and our consortium's efforts to help launch the new era of functional genomics in the chicken.
Comparison of bypass surgery and drug-eluting stenting in diabetic patients with left main and/or multivessel disease: A systematic review and meta-analysis of randomized and nonrandomized studies.

BACKGROUND With advances in theinterventional field, the choice between coronary artery bypass grafting (CABG) and percutaneous coronary intervention with drug-eluting stents (PCI-DES) for the diabetic subset with left main (LM) and/or multivessel disease (MVD) remains consistently controversial. METHODS AND RESULTS We conducted a systematic review of randomized controlled trials (RCTs) and observational controlled trials (OCTs) comparing the two strategies for the diabetic subset with LM and/or MVD. PubMed, EMBASE, CENTRAL databases, Google Scholar and SinoMed were systematically searched for eligible studies without language and publication restrictions. We identified 19 trials (4 randomized and 15 nonrandomized), enrolling 5,805 patients in OCTs and 3,060 patients in RCTs, respectively. PCI-DES was associated with higher mortality compared with CABG (11.7% DES vs. 9.1% CABG, RR 1.23, 95% CI 1.00-1.53, p = 0.06). Patients after PCI-DES had higher prevalence of myocardial infarction (MI) when compared with CABG (8.5% DES vs. 4.6% CABG, RR 1.68, 95% CI 1.20-2.37, p = 0.003). PCI-DES patients were at substantially lower risk of stroke (2.0% DES vs. 3.9% CABG, RR 0.51, 95% CI 0.39-0.67, p < 0.00001), but at several-fold higher risk of repeat revascularization (19.0% DES vs. 6.3% CABG, RR 2.95, 95% CI 2.46-3.55, p < 0.00001). The OCT patients risked a lower mortality as compared to the RCT patients (9.6% OCTs vs. 11.9% RCTs, RR 0.81, 95% CI 0.71-0.92, p = 0.001). CONCLUSIONS CABG for patients with diabetes mellitus and LM and/or MVD had advantages over PCI-DES in all-cause death, nonfatal MI, and repeat revascularization, but the substantial disadvantage in nonfatal stroke. The high-selected patients (RCTs) risked a higher mortality than the real-world patients (OCTs).
Structure and function of retinal ganglion cells innervating the cat's geniculate wing: an in vitro study

We have examined in vitro the morphology and visual response properties of retinal ganglion cells innervating a component of the cat's lateral geniculate nucleus known as the geniculate wing (or retinorecipient zone of the pulvinar). Ganglion cells were first labeled in situ by retrograde transport of fluorescent microspheres from the geniculate wing. Labeled cells were injected intracellular with Lucifer yellow and biocytin in the isolated retina and visualized immunohistochemically. With one exception, stained cells appeared to belong to a single morphological class that corresponded closely to the epsilon cell of earlier descriptions (Leventhal et al., 1980; Rodieck and Watanabe, 1986). They had somas comparable in size to those of beta cells and large, sparse dendritic trees that ramified in the inner (ON) sublayer of the inner plexiform layer. Dendritic fields increased in size with eccentricity, but only within the central retina, and were among the largest so far reported for cat ganglion cells, exceeding those of alpha cells at most eccentricities. Dendritic profiles were typically elliptical with long axes pointing toward the area centralis. Axons were about as thick as those of beta cells and thicker than those of other varieties of non-alpha, non-beta ganglion cells. We recorded extracellularly from microsphere-labeled wing-projecting ganglion cells in a superfused, flattened eyecup preparation. All such cells exhibited sustained responses to standing contrast and had very large, concentric receptive fields with ON-centers and OFF-surrounds. Their response to gratings showed that they have relatively poor spatial resolution and a moderate amount of nonlinearity of spatial summation. These cells thus have many physiological response properties in common with ganglion cells previously termed “on-center tonic W-cells,” “on-center sluggish sustained cells,” and “Q-cells. ” These findings indicate that ganglion cells innervating the cat's geniculate wing form a structurally and functionally homogeneous class. Their large dendritic and receptive fields and low-pass spatial frequency tuning suggest that fine spatial resolution is not required for the execution of their functional role(s).
Study & analysis of capacity enhance and coverage increase with repeaters in 3rd generation for rural/semi urban mobile communication system in India

The present state of the art research in WCDMA & mobile technologies, and analysis of improve capacity and coverage increase with repeaters in (3G) universal mobile telecommunication systems (UMTS) of study & investigated in rural area and semi urban area (Bijnor and Muzaffarnagar, UP) India. The proposed to use increase system information capacity in rural and semi-urban areas, where is at least a 10-12%, increase in coverage area when repeaters are placed in every cell within the network to enhance system capacity and path loss exponents are higher (3.1-3.8). So far plenty of effort has been to the research of new proposed technique that increases the capacity in (3G) WCDMA. The simulated and experimental results show a fairy good agreement with theory have been provided.
Abstract: Solving Sudoku Puzzles Based on Customized Information Entropy

Sudoku puzzle is one of the most popular games that are helpful to improve intellectual development in the world. And it also engages many scholars focus on solving algorithms and grading methods based on computers. In this paper, Sudoku puzzle is studied based on customized information entropy. An algorithm is designed to solve Sudoku puzzles based on the customized conception of information entropy and corresponding prototype is implemented in C++ by object-oriented programming method. The definitions of inverse information entropy and information amount for inverse information entropy are introduced and directly used instead of information entropy in order to simplify the solving procedure. Experimental results show that the algorithm has better time efficiency than available methods including generic algorithms and rule based algorithms and it can solve not only unique-solution puzzles (including extremely difficult puzzles) but also multiple-solution puzzles. Furthermore, it is a feasible choice to grade difficulty of Sudoku puzzles based on the customized information entropy.
Mouse DRG Cell Line with Properties of Nociceptors

In vitro cell lines from DRG neurons aid drug discovery because they can be used for early stage, high-throughput screens for drugs targeting pain pathways, with minimal dependence on animals. We have established a conditionally immortal DRG cell line from the Immortomouse. Using immunocytochemistry, RT-PCR and calcium microfluorimetry, we demonstrate that the cell line MED17.11 expresses markers of cells committed to the sensory neuron lineage. Within a few hours under differentiating conditions, MED17.11 cells extend processes and following seven days of differentiation, express markers of more mature DRG neurons, such as NaV1.7 and Piezo2. However, at least at this time-point, the nociceptive marker NaV1.8 is not expressed, but the cells respond to compounds known to excite nociceptors, including the TRPV1 agonist capsaicin, the purinergic receptor agonist ATP and the voltage gated sodium channel agonist, veratridine. Robust calcium transients are observed in the presence of the inflammatory mediators bradykinin, histamine and norepinephrine. MED17.11 cells have the potential to replace or reduce the use of primary DRG culture in sensory, pain and developmental research by providing a simple model to study acute nociception, neurite outgrowth and the developmental specification of DRG neurons.
A Systematic Review Investigating Healthy Lifestyle Interventions Incorporating Goal Setting Strategies for Preventing Excess Gestational Weight Gain

Background Excess gestational weight gain (GWG) is an important risk factor for long term obesity in women. However, current interventions aimed at preventing excess GWG appear to have a limited effect. Several studies have highlighted the importance of linking theory with empirical evidence for producing effective interventions for behaviour change. Theorists have demonstrated that goals can be an important source of human motivation and goal setting has shown promise in promoting diet and physical activity behaviour change within non-pregnant individuals. The use of goal setting as a behaviour change strategy has been systematically evaluated within overweight and obese individuals, yet its use within pregnancy has not yet been systematically explored. Aim of review To explore the use of goal setting within healthy lifestyle interventions for the prevention of excess GWG. Data collection and analysis Searches were conducted in seven databases alongside hand searching of relevant journals and citation tracking. Studies were included if interventions used goal setting alongside modification of diet and/or physical activity with an aim to prevent excess GWG. The PRISMA guidelines were followed and a two-stage methodological approach was used. Stage one focused on systematically evaluating the methodological quality of included interventions. The second stage assessed intervention integrity and the implementation of key goal setting components. Findings From a total of 839 citations, 54 full-text articles were assessed for eligibility and 5 studies met the inclusion criteria. Among interventions reporting positive results a combination of individualised diet and physical activity goals, self-monitoring and performance feedback indicators were described as active components. Conclusion Interventions based on goal setting appear to be useful for helping women achieve optimal weight gain during pregnancy. However, overweight and obese women may require more theoretically-designed interventions. Further high quality, theoretically-designed interventions are required to determine the most effective and replicable components for optimal GWG.
The Use of Video Recording Project to Improve XI IIS 3 Students’ Speaking Skill at SMA N 1 Wonosari in the Academic Year of 2015/2016

The aim of this research is to improve students’ speaking skill using video recording project for the XI IIS 3 students of SMA N 1 Wonosari in the academic year of 2015/2016. This particular research was categorized as classroom action research which was implemented in two cycles. The data were in the form of quantitative and qualitative data. The quantitative data were obtained through the pre-test and the post-test. Meanwhile, the qualitative data were collected by observing the teaching and learning process and interviewing the students of class XI IIS 3 and the English teacher. There were five validity criteria in this research: democratic, outcome, catalytic, process, and dialogic validity. The procedure of the research consisted of reconnaissance, planning, actions and observations, and reflection. The result of this study shows that the video recording project and the supporting actions such as pronunciation drills, vocabulary practices, asking the students to bring the dictionary, outside classroom activity, peer assessment, and giving a reward improved the XI IIS 3 students’ speaking skill. The findings are strengthened by the increasing of average score in pre-test and post-test. The students’ motivation and confidence to speak English improved. Moreover, the video project improved the students’ speaking skill in the aspect of vocabulary, grammar, fluency, and pronunciation
( In ) Security of Mobile Banking . . . and of Other Mobile Apps ∗

Mobile banking is about to become the de facto standard for banking activities. Banking apps on smartphones and tablets are becoming more and more more widespread and this evolution aims at strongly limiting the classical access to banks (physical, through PC browser, through ATM). The aim is to first i cut the cost but also to make the personal data explode. Then three critical issues arise because we entrust those mobile applications by feeding them with passwords, private information, and access to one of the most critical parts of our liking (money): Do those applications protect our private life and especially which kind of information is leaking to the bank? Are they containing vulnerabilities that could be exploited by attackers? In this talk, we are going to present a deep analysis of many banking apps collected in the world as well as the Facebook app which is likely to be the most used app in the world. We have performed static and dynamic analysis based on the binaries AND the source code. We will show that almost all apps are endangering our private data (sometimes severely) but in a few cases the presence of vulnerabilities are extremely concerning.
A Comparison of Two Corpus-BasedMethods forTranslingual Information

In translingual information retrieval (TIR), ad hoc queries in any of a set of languages can be used to retrieve documents in any of a set of languages. Classical informationretrieval methods such as the vector-space model cannot be applied to TIR because they base similarity on the overlap of terms between queries and documents|this is typically zero in TIR. The generalized vector-space model (GVSM) and latent semantic indexing (LSI) are two variations of the vector-space model that make comparisons outside of term space. For this reason, both can be and have been applied to TIR. In this paper, we report on a series of experiments comparing the performance of GVSM and LSI on monolingual and translingual retrieval tasks. We nd that the performance of both methods depends crucially on parameter settings, that LSI performs better, and that GVSM runs more quickly.
Fluctuation-enhanced multiple-gas sensing by commercial Taguchi sensors

This study is carried out to investigate and demonstrate the possibility of practical applications of commercial Taguchi gas sensors for fluctuation-enhanced chemical sensing of multiple gases. The stochastic resistance fluctuations of the sensors were studied during the burning-in process and during exposure to different gases at different temperatures. The analysis of resistance fluctuations in the gas sensors during and after exposure to gases indicates a strongly enhanced sensitivity and selectivity.
A latitudinal gradient in climate effects on seabird demography: results from interspecific analyses

For an understanding of the effect of climate change on animal population dynamics, it is crucial to be able to identify which climatologic parameters affect which demographic rate, and what the underlying mechanistic links are. An important reason for why the interactions between demography and climate still are poorly understood is that the effects of climate vary both geographically and taxonomically. Here, we analyse interspecifically how different climate variables affect the breeding success of North Atlantic seabird species along latitudinal and longitudinal gradients. By approaching the problem comparatively, we are able to generalize across populations and species. We find a strong interactive effect of climate and latitude on breeding success. Of the climatic variables considered, local sea surface temperatures during the breeding season tend to be more relevant than the North Atlantic Oscillation (NAO). However, the effect of NAO on breeding success shows a clear geographic pattern, changing in sign from positive in the south to negative in the north. If this interaction is taken account of, the model explains more variation than any model with sea surface temperature. This superiority of the NAO index is due to its ability to capture effects of more than one season in a single parameter. Mechanistically, however, several lines of evidence suggest that sea surface temperature is the biologically most relevant explanatory variable.
On Space-Time Resolution of Inflow Representations for Wind Turbine Loads Analysis

Efficient spatial and temporal resolution of simulated inflow wind fields is important in order to represent wind turbine dynamics and derive load statistics for design. Using Fourier-based stochastic simulation of inflow turbulence, we first investigate loads for a utility-scale turbine in the neutral atmospheric boundary layer. Load statistics, spectra, and wavelet analysis representations for different space and time resolutions are compared. Next, large-eddy simulation (LES) is employed with space-time resolutions, justified on the basis of the earlier stochastic simulations, to again derive turbine loads. Extreme and fatigue loads from the two approaches used in inflow field generation are compared. On the basis of simulation studies carried out for three different wind speeds in the turbine’s operating range, it is shown that inflow turbulence described using 10-meter spatial resolution and 1 Hz temporal resolution is adequate for assessing turbine loads. Such studies on the investigation of adequate filtering or resolution of inflow wind fields help to establish efficient strategies for LES and other physical or stochastic simulation needed in turbine loads studies.