Miracle-dz/UniFAR-FTUs huggingface dataset:
How do individual-level sociodemographics and neighbourhood-level characteristics influence residential location behaviour in the context of the food and built environment? Findings from 25 years of follow-up in the CARDIA Study

Background Little is known about how diet-related and activity-related amenities relate to residential location behaviour. Understanding these relationships is essential for addressing residential self-selection bias. Methods Using 25 years (6 examinations) of data from the Coronary Artery Risk Development in Young Adults (CARDIA) study (n=11 013 observations) and linked neighbourhood-level data from the 4 CARDIA baseline cities (Birmingham, Alabama; Chicago, Illinois; Minneapolis, Minnesota; Oakland, California, USA), we characterised participants’ neighbourhoods as having low, average or high road connectivity and amenities using non-hierarchical cluster analysis. We then used repeated measures multinomial logistic regression with random effects to examine the associations between individual-level sociodemographics and neighbourhood-level characteristics with residential neighbourhood types over the 25-year period, and whether these associations differed by individual-level income. Results Being female was positively associated with living in neighbourhoods with low (vs high) road connectivity and activity-related and diet-related amenities among high-income individuals only. At all income levels, a higher percentage of neighbourhood white population and neighbourhood population <18 years were associated with living in neighbourhoods with low (vs high) connectivity and amenities. Individual-level race; age; and educational attainment, neighbourhood socioeconomic status and housing prices did not influence residential location behaviour related to neighbourhood connectivity and amenities at any income level. Conclusions Neighbourhood-level factors appeared to play a comparatively greater role in shaping residential location behaviour than individual-level sociodemographics. Our study is an important step in understanding how residential locational behaviour relates to amenities and physical activity opportunities, and may help mitigate residential self-selection bias in built environment studies.
258 K HCM-causing mutation in cardiac MyBP-C reduces contractile force and accelerates twitch kinetics by disrupting the cMyBP-C and myosin S 2 interaction

Hypertrophic cardiomyopathy (HCM) is a primary cardiac disease inherited in an autosomal dominant fashion (Spirito et al., 1997). HCM is the most prevalent cause of sudden cardiac death in apparently healthy young individuals (Fananapazir and Epstein, 1991), and is estimated to affect about one in five hundred people (Maron et al., 1995; Seidman and Seidman, 2001). Globally, mutations in cardiac myosin binding protein C (cMyBP-C), encoded by the human cardiac myosin binding protein C gene (MYBPC3) gene, are among the most prevalent causes of HCM, accounting for 34% of all mutations identified (Richard et al., 2003; Olivotto et al., 2008). To date, most recognized HCM-causing mutations in
Evidence for nonuniversal behavior of paraconductivity caused by predominant short-wavelength Gaussian fluctuations in YBa2Cu3O6.9.

We report on in-plane paraconductivity measurements in thin YBa2Cu3O6.9 films. Our analysis of the data shows that the temperature dependence of paraconductivity is affected by lattice disorder and deviates at all temperatures from the universal power laws predicted by both scaling and mean-field theories. This gives evidence for the absence of critical fluctuations and for the failure of the Aslamazov-Larkin universal relation between critical exponent and dimensionality of the spectrum of Gaussian fluctuations. We account quantitatively for the data within the experimental error by introducing a short-wavelength cutoff into this spectrum. This implies that three-dimensional short-wavelength Gaussian fluctuations dominate in YBa2Cu3O6.9 and suggests a rapid attenuation of these fluctuations with decreasing wavelength in short-coherence-length systems as compared to the case of the conventional Ginzburg-Landau theory
Phenotypic Plasticity of Locomotion Performance in the Seed Harvester Messor capensis (Formicidae)

Temperature dependence, energetics, and speed of locomotion have important implications for the ecology and evolution of ants. Here, we report the results of a full‐factorial study investigating the responses of active metabolic rate (AMR), voluntary locomotion speed, and cost of transport (COT) to three temperature acclimations (7–10 d; 20°, 25°, and 30°C) and three test temperature treatments (2 h; 20°, 25°, and 30°C) in a seed‐harvester ant, Messor capensis. By using a strong‐inference approach, we assessed these trait responses in the context of the beneficial acclimation hypothesis and its alternatives. Results showed that AMR was not affected by acclimation temperature, indicating limited phenotypic plasticity for this trait. By contrast, voluntary running speed was consistently higher when ants were acclimated at 25°C, providing support for the optimal acclimation hypothesis. COT was not affected by acclimation or treatment temperature. In addition, while AMR was repeatable and similar across temperatures (r = 0.371–0.683), the repeatabilities of running speed (r = 0.191–0.826) and COT (r = 0.166–0.903) were highly variable, suggesting constraints on ant locomotion under certain thermal conditions. Minimum COT (298 J kg−1 m−1) in M. capensis was well within the range of values for other terrestrial arthropods of a similar body size. This study emphasizes the need to investigate a variety of performance traits rather than a single one and to expand the limited body of work on plasticity of insect locomotion.
Understanding Organizational Transformation from IT Implementations: A Look at Structuration Theory

Past evidence suggests that organizational transformation from IT implementations is rare. Data warehousing promises to be one advanced information technology that could produce transformation. Based on the stages of growth theory and adaptive structuration theory (AST), this paper attempts to understand how data warehousing could lead to organizational transformation by studying a data warehouse’s growth in an organization. In particular, the benchmark variables for data warehousing stages of growth are examined using adaptive structuration theory to explain organizational transformation that takes account into unique organizational situations.
Privacy Preservation in Big Data

Big data has brought a revolution in the world of data analytics. Data that was discarded a few years back is now considered a powerful asset. Big data is now being extensively used for knowledge discovery by all sectors of society. It is produced by almost all digital processes and is stored, shared on web. This reliance of big data on web model poses serious security concerns. Traditional security methods cannot be applied to big data due to its large volume, variety and volume. Also since big data contains person specific information, privacy is a major security concern. The three important privacy preservation methods are: data anonymization, notice and consent and differential privacy. In this paper we discuss these privacy preservation methods for big data and how differential privacy is a better solution for big data privacy.
The mur 4 Mutant of Arabidopsis Is Partially Defective in the de Novo Synthesis of Uridine Diphospho L-Arabinose 1

To obtain information on the synthesis and function of arabinosylated glycans, the mur4 mutant of Arabidopsis was characterized. This mutation leads to a 50% reduction in the monosaccharide L-arabinose in most organs and affects arabinose-containing pectic cell wall polysaccharides and arabinogalactan proteins. Feeding L-arabinose to mur4 plants restores the cell wall composition to wild-type levels, suggesting a partial defect in the de novo synthesis of UDP-L-arabinose, the activated sugar used by arabinosyltransferases. The defect was traced to the conversion of UDP-D-xylose to UDP-L-arabinose in the microsome fraction of leaf material, indicating that mur4 plants are defective in a membrane-bound UDPD-xylose 4-epimerase.
New firms and new forms of work 1

The present contribution examines whether and how young firms and incumbents differ with regard to selected aspects of work forms and work organization in order to assess their roles for the qualitative changes of work in industrialized countries. Conceptually, we emanate from the approach of negotiated order and we empirically ground our research upon guided interviews conducted with employers and employees in about 50 firms in four distinct industries in Germany. According to our results, new forms of work are particularly widespread in new firms. Most of the young companies in our sample practice autonomous work forms like working on one’s own responsibility and team working more frequently than incumbents, they are more prone to revert to functional flexibility (e.g. changing tasks and duties) and their working time arrangements tend to be more flexible. Altogether, firm age turns out to be an important parameter of new work forms and organization, though it is not the only one. Our results show that also the general and industry-specific framework conditions, a firm’s internal characteristics (e.g. innovation intensity, hierarchies and routines), the relevant actors (management, workforce) and particularly the coaction of these elements are important drivers shaping the overall feature of a firm.
A systematic review of resonant voice therapy

Abstract Purpose: The purpose of this study is to systematically review the literature on resonant voice therapy and to evaluate the level of evidence on the effectiveness of using resonant voice therapy in treating dysphonia. Method: Refereed journal papers from 1974 to 2014 were retrieved and reviewed by two independent reviewers using the keywords “Humming, Resonance, Resonant Voice, Semi-occluded or closed tube phonation” using available database systems. Quality of evidence was evaluated by using the Grading of Recommendations Assessment, Development and Evaluation (GRADE). Result: Thirteen papers met the search criteria. Nine papers were selected by the two reviewers. Two of the papers were randomised-controlled studies and the other seven were observational studies. At least four types of resonant voice therapies were described. They included the Lessac-Madsen Resonant Voice Therapy, Y-Buzz, Resonance Therapy and Humming. The overall level of quality of evidence was graded as “moderate”. Conclusion: There were limited studies that investigated the effectiveness of resonant voice therapy. Most studies were small-scale uncontrolled observational studies with the inclusion of only small samples or specific populations. There is clearly a need for more large-scale randomised controlled studies with a wider range of populations to provide further evidence on the effectiveness of resonant voice training for different populations.
Relationship between Health Expenditure and GDP in an Augmented Solow Growth Model for Pakistan: An Application of Co-integration and Error-Correction Modeling

This paper examines the temporal interdependence between gross domestic product and health expenditure per capita for Pakistan in an augmented Solow growth model suggested by Mankiw, Romer and Weil (1992) for the period of 1973-2001. This paperis an extension of the MRW model by incorporating health capital proxied by health expenditure to the augmented Solow model. Moreover, an openness variable is also included in the model in order to capture the effect of technological changes on growth. The paper employs co-integration,ECM methodology and several diagnostic and specification tests. The empirical findings show a significant and positive relationship between GDP and Health Expenditure, both in the long- and short-run.
Dielectric materials at high frequencies

THE term 'high frequency' can imply different frequencies, depending on the research field. For example, in the power industry, 1 kHz can be high; a high-frequency dryer uses 2 MHz; a common wireless LAN system uses 2.4-5 GHz; intelligent transportation systems use 60-76 GHz. In this special issue of the Transactions on Dielectrics and Electrical Insulation 'high' is the frequency range from 1 MHz to 110 GHz. The use of this frequency range has been continuously increasing, and the industry has been growing rapidly.
US signs contract with ZMapp maker to accelerate development of the Ebola drug

The US government has signed a multimillion dollar contract with the maker of the experimental Ebola drug ZMapp to accelerate the drug’s development. Under the contract the US Biomedical Advanced Research and Development Authority (BARDA) will provide funding, expertise, and technical support to the drug company, Mapp Biopharmaceutical, of San Diego, California. BARDA is the US agency tasked with developing medical countermeasures—including vaccines, medicines, diagnostics, and medical equipment—to respond to chemical, biological, radiological, or nuclear incidents or attacks, as well as pandemics …
A Novel Substrate of Receptor Tyrosine Phosphatase PTPRO Is Required for Nerve Growth Factor-Induced Process Outgrowth

The receptor protein tyrosine phosphatase PTPRO may be involved in axon guidance both as a ligand and as a neuronal receptor. We have begun to characterize signaling by PTPRO as a receptor by screening for proteins interacting with the intracellular domain of PTPRO. In a yeast-two hybrid screen, we identified a novel class of protein, which we named neuronal pentraxin with chromo domain (NPCD), as a PTPRO-interacting protein. We have shown recently that NPCD has multiple cytoplasmic isoforms as a result of alternative splicing and that these proteins are present in many neurons, mainly associated with the inner side of the plasma membrane. Through additional two-hybrid experiments, cotransfection and reciprocal coprecipitation, glutathione S-transferase pulldown, and immunoprecipitation in vivo, we confirm that NPCD isoforms interact with the catalytic phosphatase domain of PTPRO. We also find that at least one NPCD isoform is tyrosine phosphorylated in vivo and can serve as a substrate for PTPRO in vitro. Analysis of PTPRO knock-out mice demonstrates that normal localization of NPCD at the plasma membrane requires PTPRO expression, suggesting a physiological role for the NPCD/PTPRO interaction. NPCD is likely to be relevant to axon growth and/or guidance, because RNA interference mediated knock-down of NPCD expression in pheochromocytoma cells inhibits NGF-induced neuronal process outgrowth without affecting NGF-dependent survival or initial NGF signaling.
Suppression of adrenal gland‐derived epinephrine enhances the corticosterone‐induced antinociceptive effect in the mouse formalin test

There is both clinical and experimental evidence to support the application of corticosterone in the management of inflammation and pain. Corticosterone has been used to treat painful inflammatory diseases and can produce antinociceptive effects. Epinephrine is synthesized from norepinephrine by the enzyme phenylethanolamine N‐methyltransferase (PNMT) and works as an endogenous adrenoceptor ligand secreted peripherally by the adrenal medulla. It is currently unclear whether corticosterone's antinociceptive effect is associated with the modulation of peripheral epinephrine.
Acoustic Scene Classification Using Deep Convolutional Neural Network and Multiple Spectrograms Fusion

Making sense of the environment by sounds is an important research in machine learning community. In this work, a Deep Convolutional Neural Network (DCNN) model is presented to classify acoustic scenes along with a multiple spectrograms fusion method. Firstly, the generations of standard spectrogram and CQT spectrogram are introduced separately. Corresponding features can then be extracted by feeding these spectrogram data into the proposed DCNN model. To fuse these multiple spectrogram features, two fusing mechanisms, namely the voting and the SVM methods, are designed. By fusing DCNN features of the standard and CQT spectrograms, the accuracy is significantly improved in our experiments, comparing with the single spectrogram schemes. This proves the effectiveness of the proposed multi-spectrograms fusion method.
A Structural Perspective on the Experimentalist School

What has always bothered me about the "experimentalist" school is the false sense of certainty it conveys. My view, like Leamer's, is that there is no way to escape the role of assumptions in statistical work, so our conclusions will always be contingent. Hence, we should be circumspect about our degree of knowledge. I present some lessons for economics from the field of marketing, a field where broad consensus has been reached on many key issues over the past twenty years. In marketing, 1) the structural paradigm is dominant, 2) the data are a lot better than in some fields of economics, and 3) there is great emphasis on external validation. Of course, good data always helps. I emphasize that the ability to do controlled experiments does not obviate the need for theory, and finally I address different approaches to model validation.
Robust Semi-Active Ride Control Under Stochastic Excitation (Briefing Charts)

Abstract : Ride control of military vehicles is challenging due to varied terrain and mission requirements such as operating weight. Achieving top speeds on rough terrain is typically considered a key performance parameter, which is always constrained by ride discomfort. Many military vehicles using passive suspensions suffer with compromised performance due to single tuning solution. To further stretch the performance domain to achieving higher speeds on rough roads, semi-active suspensions may offer a wide range of damping possibilities under varying conditions. In this paper, various semi-active control strategies are examined, and improvements have been made, particularly, to the acceleration-driven damper (ADD) strategy to make the approach more robust for varying operating conditions. A seven degrees of freedom ride model and a quarter-car model were developed that were excited by a random road process input modeled using an auto-regressive time series model. The proposed strategy shows promise as a cost-effective solution to improve the ride of a military vehicle over multiple stochastic terrains considering variation in operating weight.
Self-powered heat-sink SoC as temperature sensors with wireless interface: Design and validation

We present the design and the proof of concept of a self-powered System-on-Chip temperature sensor with wireless communication interface integrated in the shape of a heat-sink. The proposed solution is based on a thermo-harvesting module that scavenges the energy required to operate from the target device under monitoring. The heat-sink provides optimal thermal dissipation while the SoC underneath provides feedback on the temperature. The thermal gradient between the chip and the environment is converted into electrical energy that supplies the wireless interface to send a beacon message to a receiver. The packet rate is directly related to the temperature of the target device by means of the efficiency curve that characterize the thermo-harvesting module. We designed the proposed SoC architecture and we proved the concept using commercial devices. We validated our approach comparing simulated results with real experiments. The prototype system has been proven effective to measure the temperature on the package of a general purpose ARM CPU in the range 40°C to 70°C.
Multiple-parameter CMOS IC testing with increased sensitivity for I/sub DDQ/

Technology scaling challenges the effectiveness of current-based test techniques such as I/sub DDQ/. Furthermore, existing leakage reduction techniques are not as effective in aggressively scaled technologies. We exploited intrinsic dependencies of transistor and circuit leakage on clock frequency, temperature, and reverse body bias (RBB) to discriminate fast ICs from defective ones. Transistor and circuit parameters were measured and correlated to demonstrate leakage-based testing solutions with improved sensitivity. We used a test IC with available body terminals for our experimental measurements. Our data suggest adopting a sensitive multiple-parameter test solution. For high performance IC applications, we propose a new test technique, I/sub DDQ/ versus F/sub MAX/ (maximum operating frequency), in conjunction with using temperature (or RBB) to improve the defect detection sensitivity. For cost sensitive applications, I/sub DDQ/ versus temperature test can be deployed. Our data show that temperature (cooling from 110/spl deg/C to room) improved sensitivity of I/sub DDQ/ Versus F/sub MAX/ two-parameter test by more than an order of magnitude (13.8X). The sensitivity can also be tuned by proper selection of a temperature range to match a required DPM level.
Evidence for ideal insulating or conducting state in a one-dimensional integrable system.

Using numerical diagonalization techniques we analyze the finite temperature/frequency conductance of a one dimensional model of interacting spinless fermions. Depending on the interaction, the observed finite temperature charge stiffness and low frequency conductance indicate a fundamental difference between integrable and non-integrable cases. The integrable systems behave as ideal conductors in the metallic regime and as ideal insulators in the insulating one. The non-integrable systems are, as expected, generic conductors in the metallic regime and activated ones in the insulating regime.
Realizing and Maintaining Aggregative Digital Library Systems: D-NET Software Toolkit and OAIster System

Aggregative Digital Library Systems (ADLSs) provide end users with web portals to operate over an information space of descriptive metadata records, collected and aggregated from a pool of possibly heterogeneous repositories. Due to the costs of software realization and system maintenance, existing "traditional" ADLS solutions are not easily sustainable over time for the supporting organizations. Recently, the DRIVER EC project proposed a new approach to ADLS construction, based on Service-Oriented Infrastructures. The resulting D-NET software toolkit enables a running, distributed system in which one or multiple organizations can collaboratively build and maintain their service-oriented ADLSs in a sustainable way. In this paper, we advocate that D-NET's "infrastructural" approach to ADLS realization and maintenance proves to be generally more sustainable than "traditional" ones. To demonstrate our thesis, we report on the sustainability of the "traditional" OAIster System ADLS, based on DLXS software (University of Michigan), and those of the "infrastructural" DRIVER ADLS, based on D-NET.