Miracle-dz/UniFAR-FTUs huggingface dataset:
Literature Review: policies adopted to support a healthy retail sector and retail led regeneration and the impact of retail on the regeneration of town centres and local high streets

Publisher: The Scottish Government, Edinburgh Abstract: Communities Analytical Services, on behalf of the Regeneration Division of the Scottish Government, commissioned the Institute for Retail Studies at the University of Stirling to provide a literature review of the policies adopted to support a healthy retail sector and retail led regeneration and the impact of retail on the regeneration of town centres and local high streets. This literature review (which was to focus on literature relating to the UK) was requested to meet three objectives: Identify what a healthy/vibrant town centre/local high street looks like; Identify, in the UK, what policies/approaches have been implemented to: (a) Support a healthy retail sector in local high streets and town centres, and (b) Undertake retail led regeneration; Explore what impact retail has had on the regeneration (in its widest sense social, economic and physical) of town centres and local high streets, and how this has impacted on the wider community. Type: Research Report URL: http://www.scotland. gov.uk/Publications/2009/01/12112520/0 URI: http://hdl.handle. net/1893/11857 Rights: © Crown Copyright 2009 Use in this Repository permitted under the Open Government Licence: http://www.nationalarchives. gov.uk/doc/open-government-licence/open-government-licence.htm Affiliation: Marketing and Retail Division Marketing and Retail Division
Dynamic output-feedback controller design for continuous-time linear systems with actuator and sensor quantization

This paper pertains to the design of a dynamic output-feedback controller for linear systems subject to both actuator and sensor quantization. The quantization errors affecting the measured output and the control input are embedded into compact sector through appropriate sector conditions. Then, the global asymptotic stabilization problem of an ellipsoidal set containing the origin is tackled. To deal with the discontinuity induced by quantization, the notion of Krasovskii solution is adopted to tackle the considered problem. The controller is designed via a convex optimization setup, providing a constructive method that can be efficiently implemented. Finally, the effectiveness of the proposed methodology is shown in a numerical example.
A role for Dicer in immune regulation

Micro RNAs (miRNAs) regulate gene expression at the posttranscriptional level. Here we show that regulatory T (T reg) cells have a miRNA profile distinct from conventional CD4 T cells. A partial T reg cell–like miRNA profile is conferred by the enforced expression of Foxp3 and, surprisingly, by the activation of conventional CD4 T cells. Depleting miRNAs by eliminating Dicer, the RNAse III enzyme that generates functional miRNAs, reduces T reg cell numbers and results in immune pathology. Dicer facilitates, in a cell-autonomous fashion, the development of T reg cells in the thymus and the efficient induction of Foxp3 by transforming growth factor β. These results suggest that T reg cell development involves Dicer-generated RNAs.
Deductive reasoning and matching-bias inhibition training: Evidence from a debiasing paradigm

Using the matching bias example, the aim of the present studies was to show that adults' reasoning biases are due to faulty executive inhibition programming. In the first study, the subjects were trained on Wason's classical card selection task; half were given training in how to inhibit the perceptual matching bias (experimental group) and half in logic without the inhibition component (control group). On the pre- and post-tests, their performance was assessed on the Evans conditional rule falsification task (with a negation in the antecedent of the rule), a task that also involves matching bias. In addition, subjects were tested for perceptual field dependence/independence using the Embedded Figures Test. The results brought out a specific inhibition training effect, as well as a clear-cut relationship in the experimental group between receptiveness to training and perceptual field independence. In the second study, the training paradigm was the same except that on the pre- and post-tests, the negation was in the consequent of the conditional rule (in this case, the perceptual matching response corresponds to the logical response). The subjects succeeded on the pre-test, and the matching-bias inhibition training had a negative effect on post-test performance. This specific negative priming effect confirms the inhibitory impact of our experimental training and outlines the dissociation of inhibition and logical components.
Analysis and Purification of Bioactive Natural Products: The AnaPurNa Study

Based on a meta-analysis of data mined from almost 2000 publications on bioactive natural products (NPs) from >80 000 pages of 13 different journals published in 1998–1999, 2004–2005, and 2009–2010, the aim of this systematic review is to provide both a survey of the status quo and a perspective for analytical methodology used for isolation and purity assessment of bioactive NPs. The study provides numerical measures of the common means of sourcing NPs, the chromatographic methodology employed for NP purification, and the role of spectroscopy and purity assessment in NP characterization. A link is proposed between the observed use of various analytical methodologies, the challenges posed by the complexity of metabolomes, and the inescapable residual complexity of purified NPs and their biological assessment. The data provide inspiration for the development of innovative methods for NP analysis as a means of advancing the role of naturally occurring compounds as a viable source of biologically active agents with relevance for human health and global benefit.
RNA-Seq Atlas - a reference database for gene expression profiling in normal tissue by next-generation sequencing

MOTIVATION Next-generation sequencing technology enables an entirely new perspective for clinical research and will speed up personalized medicine. In contrast to microarray-based approaches, RNA-Seq analysis provides a much more comprehensive and unbiased view of gene expression. Although the perspective is clear and the long-term success of this new technology obvious, bioinformatics resources making these data easily available especially to the biomedical research community are still evolving. RESULTS We have generated RNA-Seq Atlas, a web-based repository of RNA-Seq gene expression profiles and query tools. The website offers open and easy access to RNA-Seq gene expression profiles and tools to both compare tissues and find genes with specific expression patterns. To enlarge the scope of the RNA-Seq Atlas, the data were linked to common functional and genetic databases, in particular offering information on the respective gene, signaling pathway analysis and evaluation of biological functions by means of gene ontologies. Additionally, data were linked to several microarray gene profiles, including BioGPS normal tissue profiles and NCI60 cancer cell line expression data. Our data search interface allows an integrative detailed comparison between our RNA-Seq data and the microarray information. This is the first database providing data mining tools and open access to large scale RNA-Seq expression profiles. Its applications will be versatile, as it will be beneficial in identifying tissue specific genes and expression profiles, comparison of gene expression profiles among diverse tissues, but also systems biology approaches linking tissue function to gene expression changes. AVAILABILITY AND IMPLEMENTATION http://medicalgenomics.org/rna_seq_atlas.
Green MapReduce for heterogeneous data centers

MapReduce has emerged as one of the key workloads in today's data centers, which constantly strive for an optimal tradeoff between energy consumption and performance. MapReduce alternates between computation and communication intensive phases with bursty workloads. The challenge to make execution of MapReduce green, lies in controlling server and network resources simultaneously. The related work offers various good solutions for homogenous systems, with the central theme of packing tasks into as small number of servers as possible and thus overlooking the possibility to "sleep" servers and network components. This paper considers a very bursty MapReduce workload with distinct CPU, memory and network requirements executed on heterogenous data centers, where servers have various CPU/memory capacities and execute request in a process-sharing manner. To reduce energy consumption while maintaining a low task response time, we propose an online energy minimization path algorithm, termed GEMS, to schedule MapReduce tasks, in cooperation with sleeping policies on servers as well as the switches. Using Google MapReduce traces, our simulation experiments show that our proposed solution gains a significant energy saving of 35% and meanwhile improves task response times by 35% on heterogenous data centers, compared to policies which are network agnostic or adopt no sleeping schedule. Overall, we achieve greener and faster MapReduce with (surprisingly) only a slightly higher number of servers, by considering energy consumption rather than conventional approach of considering power values only.
Improving project management competency by using an OPM3 approach

the major purpose of this paper is to present a case study in implementing an improvement project for improving project management methodology in a project-based company. The approach applied in this improvement project is the most important model in project management maturity. The key points of the project are highlighted in this paper in addition to a brief review of the literature in the context of maturity models, importance of maturity models and organizational project management maturity model (OPM3) which the latter is the base framework for the approach applied in this improvement project. The five steps presented by OPM3 have been taken in this project. For the maturity level assessment, a program was developed in Microsoft Office Excel. Keywords-maturity model; OPM3; assessment; improvement
Numerical inverse kinematics for modular reconfigurable robots

equations based on the product-of-exponential POE formulas. The Newton]Raphson iteration method is employed for solution. The automated model generation is accomplished by using the kinematic graph representation of a modular robot assembly configuration and the related accessibility matrix and path matrix. Examples of the inverse kinematics solutions for different types of modular robots are given to demonstrate the applicability and effectiveness of the proposed algorithm. Q 1999 John Wiley & Sons, Inc.
Impacts of Atmospheric Anthropogenic Nitrogen on the Open Ocean

Increasing quantities of atmospheric anthropogenic fixed nitrogen entering the open ocean could account for up to about a third of the ocean's external (nonrecycled) nitrogen supply and up to ∼3% of the annual new marine biological production, ∼0.3 petagram of carbon per year. This input could account for the production of up to ∼1.6 teragrams of nitrous oxide (N2O) per year. Although ∼10% of the ocean's drawdown of atmospheric anthropogenic carbon dioxide may result from this atmospheric nitrogen fertilization, leading to a decrease in radiative forcing, up to about two-thirds of this amount may be offset by the increase in N2O emissions. The effects of increasing atmospheric nitrogen deposition are expected to continue to grow in the future.
Modulation Formats and Waveforms for 5G Networks: Who Will Be the Heir of OFDM?: An overview of alternative modulation schemes for improved spectral efficiency

Fifth-generation (5G) cellular communications promise to deliver the gigabit experience to mobile users, with a capacity increase of up to three orders of magnitude with respect to current long-term evolution (LTE) systems. There is widespread agreement that such an ambitious goal will be realized through a combination of innovative techniques involving different network layers. At the physical layer, the orthogonal frequency division multiplexing (OFDM) modulation format, along with its multiple-access strategy orthogonal frequency division multiple access (OFDMA), is not taken for granted, and several alternatives promising larger values of spectral efficiency are being considered. This article provides a review of some modulation formats suited for 5G, enriched by a comparative analysis of their performance in a cellular environment, and by a discussion on their interactions with specific 5G ingredients. The interaction with a massive multiple-input, multiple-output (MIMO) system is also discussed by employing real channel measurements.
Response to endovascular reperfusion is not time-dependent in patients with salvageable tissue

Objective: To evaluate whether time to treatment modifies the effect of endovascular reperfusion in stroke patients with evidence of salvageable tissue on MRI. Methods: Patients from the Diffusion and Perfusion Imaging Evaluation for Understanding Stroke Evolution 2 (DEFUSE 2) cohort study with a perfusion-diffusion target mismatch were included. Reperfusion was defined as a decrease in the perfusion lesion volume of at least 50% between baseline and early follow-up. Good functional outcome was defined as a modified Rankin Scale score ≤2 at day 90. Lesion growth was defined as the difference between the baseline and the early follow-up diffusion-weighted imaging lesion volumes. Results: Among 78 patients with the target mismatch profile (mean age 66 ± 16 years, 54% women), reperfusion was associated with increased odds of good functional outcome (adjusted odds ratio 3.7, 95% confidence interval 1.2–12, p = 0.03) and attenuation of lesion growth (p = 0.02). Time to treatment did not modify these effects (p value for the time × reperfusion interaction is 0.6 for good functional outcome and 0.3 for lesion growth). Similarly, in the subgroup of patients with reperfusion (n = 46), time to treatment was not associated with good functional outcome (p = 0.2). Conclusion: The association between endovascular reperfusion and improved functional and radiologic outcomes is not time-dependent in patients with a perfusion-diffusion mismatch. Proof that patients with mismatch benefit from endovascular therapy in the late time window should come from a randomized placebo-controlled trial.
Theoretical examination of quantum coherence in a photosynthetic system at physiological temperature

The observation of long-lived electronic coherence in a photosynthetic pigment–protein complex, the Fenna–Matthews–Olson (FMO) complex, is suggestive that quantum coherence might play a significant role in achieving the remarkable efficiency of photosynthetic electronic energy transfer (EET), although the data were acquired at cryogenic temperature [Engel GS, et al. (2007) Evidence for wavelike energy transfer through quantum coherence in photosynthetic systems. Nature 446:782–786]. In this paper, the spatial and temporal dynamics of EET through the FMO complex at physiological temperature are investigated theoretically. The numerical results reveal that quantum wave-like motion persists for several hundred femtoseconds even at physiological temperature, and suggest that the FMO complex may work as a rectifier for unidirectional energy flow from the peripheral light-harvesting antenna to the reaction center complex by taking advantage of quantum coherence and the energy landscape of pigments tuned by the protein scaffold. A potential role of quantum coherence is to overcome local energetic traps and aid efficient trapping of electronic energy by the pigments facing the reaction center complex.
Meta-Classifier Approaches to Reliable Text Classification

There is provided a lapping arrangement with circulating thread guides for a warp knitting machine. The arrangement has carriers for the thread guides. A transport arrangement moves the carriers in a guide means comprising two parallel segments connected by two turning segments. In the location of the parallel segments the transport arrangement comprises two forwarding helices in whose helical thread ride rollers which are attached to the carriers. In this way, a precise positioning of the thread guides is possible.
Assessing quality perception of private labels: intransient cues and consumer characteristics

Purpose – This study aims to examine the moderating effects of two important consumer characteristics (product familiarity and risk aversion) on the relationships between two intransient cues (store image and product signatureness) and consumer quality perception of private label, as well as the interaction between the cues themselves.Design/methodology/approach – This paper employs survey research to test three main hypotheses. The authors collected data from parents in an elementary school in a southern state.Findings – The study yields some counterintuitive results. The paper finds that the combination of two diagnostic cues does not necessarily enhance the positive evaluation of private labels. Instead, store image reduces the effect of product signatureness. Further, product familiarity induces a positive moderating effect on product signatureness, whereas risk aversion exerts a negative moderating effect on store image.Originality/value – Prior literature neglects the interactions between cues and c.
The Political Geography of Presidential Speeches, 1946–87

Abstract A central theme of political geography and international relations is the changing foreign policy of the United States, the global leader since 1945. Speech-making is a major geopolitical activity. A political communication-based view of the American presidency combined with a spatial-temporal framework of global politics provided the methodology for the analysis of presidential speeches. The State of the Union addresses offer a consistent source of documentation of the priorities of American policy, and the geography of the speeches indicates the regional emphases of American strategy over time. A content analysis of the forty-two messages from 1946–87 yielded two key indicators, foreign policy ratio and specific regional ratio. In addition, six global regions were defined. Yearly variations in the key indices are randomly distributed in a temporal sense but are strongly related to regional conflicts with U.S. involvement. The maps for each president recorded dramatic differences from detailed (.
Kernel-based clustering of big data

: There has been a rapid increase in the volume of digital data over the recent years. Analysis of this data, popularly known as big data, necessitates highly scalable data analysis techniques. Clustering is an exploratory data analysis tool used to discover the underlying groups and structures in the data. State-of-the-art scalable clustering algorithms assume “linear separability” of the clusters, and do not perform well on real-world data sets. Kernel-based clustering algorithms, which use non-linear similarity measures, are more accurate, but are not scalable to data sets containing billions of high-dimensional points from thousands of clusters. We propose scalable approximate kernel-based clustering algorithms, based on random sampling and efficient optimization. The proposed algorithms are as efficient as linear clustering algorithms, and achieve cluster quality comparable to that of classical kernel-based clustering algorithms. We demonstrate the efﬁciency and effectiveness of the proposed algorithms on several diverse large-scale data sets.
A method for synchronization of power electronic converters in polluted and variable-frequency environments

This paper presents a new synchronization method which employs an enhanced phase-locked loop (EPLL) system. The operational concept of the EPLL is novel and based on a nonlinear dynamical system. As compared with the existing synchronization methods, the introduced EPLL-based synchronization method provides higher degree of immunity and insensitivity to noise, harmonics and other types of pollutions that exist in the signal used as the basis of synchronization. The salient feature of the EPLL-based synchronization method over conventional synchronization methods is its frequency adaptivity which permits satisfactory operation when the centre frequency of the base signal varies. The proposed EPLL-based method of synchronization is also capable of coping with the unbalanced system scenarios. Structural simplicity of the EPLL-based method greatly simplifies its implementation in digital software and/or hardware environments as an integral part of a digital control platform for power electronic converters. The primary application of the proposed synchronization method is for the distributed generation units, e.g., wind generation systems, which utilize power electronic converters as an integral part of their systems.
Ecologically and Transdisciplinarily Inspired Research: Starting Points for Practitioner Research and Sustainable Change

Abstract This article reports an adventure of collective creating in which learning psychology, sociology, professional learning, managerial and nature thinking came together and enriched the authors’ perspective on the methodology of practice-oriented research. It resulted in the manifestation of two base tunes and six ‘ecologically and transdisciplinarily inspired’ (ETI) research principles. The ETI perspective includes an ecological way of dealing with the social and physical research issues, which means holistic thinking and working and thinking in terms of connectedness. It also means that mono-disciplinary and interdisciplinary scientific and practical thinking need to be ‘transcended’ to deal with practitioner research issues. Other fundamental matters include dealing with wisdom, narratives, and the ecological fallacy; collectively and transdisciplinarily creating knowledge and improved practice with stakeholders, e.g. actors; and being cognitively inspired by nature.
Brain Drain in the Rust Belt

City leaders increasingly have hoped that school reform can spark a renaissance in struggling communities. Using the lens of building civic capacity, this article examines efforts to revitalize “Milltown”—a small urban community that has been devastated by the loss of manufacturing jobs. Analysis of interview and written documents identifies several paradoxes that highlight the ways in which the conceptions of individuals and the nature of this former manufacturing community contrasted dramatically with the realities of the emerging global economy. Findings detail these paradoxes and describe the role of the town's school district in driving the reform efforts intended to address these dilemmas.