Miracle-dz/UniFAR-FTUs huggingface dataset:
Dark Energy and Dark Matter in Theories of Atoms

Here I present my comment to an article entitled “Do Dark Matter And Dark Energy Affect Ordinary Atoms? ” by Chad Orzel posted on the website of Forbes. Applying the Scale-Symmetric Theory (SST), we justify that dark energy can be neglected while in the theories of atoms the dark matter plays a significant role and its omission causes that there appear infinities, free parameters, mathematical indeterminate forms - sometimes such messy theories, even though there are free parameters included, lead to results inconsistent with the experimental data, for example, it concerns the magnetic moment of muon calculated within QED.
Managing Innovation Activity in Peripheral Regions and its Contribution to Entrepreneurial Success

Objectives:First, it is analyzed whether enterprises in peripheral regions having defined and implemented innovation managing system effectively contributes to entrepreneurial success and second, it is examined whether they have higher innovation output (new products and services) if they cooperate with other stakeholders.Prior Work:So far existing surveys analyze innovation through a quantitative set of input and output factors, whereas we try to build up on these studies and to open the black box between both. Moreover most studies are focusing on large corporations or new ventures in the sole context of product and process development. In contrast to this our study includes not only large corporations and is not limited to product and process innovations but we too consider SMEs as well as service and organizational innovation.Approach:To answer the research question a survey is conducted in which SMEs as well as big companies are asked regarding their innovation management system. The survey contains 1200 enterprises located in south eastern Switzerland which corresponds to 10% of the population. Method used to analyze the data is simple regression analysis, with entrepreneurial success (sales, number of employees, profit and improvement of the competitive position) as dependent variable and a dummy variable for cooperation and one for the management system as independent variable.Results:The better the innovation process fits with the business strategy, the higher is the innovation output. As long as strategy, structure and culture are synchronized, a well trained project management team is in charge, a well fitting incentive system is implemented companies posses a better innovation routine. Cooperation with universities, other companies and associations lead to better resource allocation, helps detecting missing knowledge and qualified labour forces and it results in a significant higher innovation output.ImplicationsA higher amount of new ideas in the innovation pipeline guarantee a higher innovation output, which contributes positively to the increase of sales. In 75% of all cases these ideas come from outside of the company. Innovative enterprises seek for cooperation with universities and foster actively the relationship with other stakeholders.Value:Semi-peripheral and peripheral regions in Europe could profit from our results and foster their activities within its regional innovation system to locate and support such innovative enterprises. At the end of the day regions with above-average amount of these kind of companies have positive employment effects and higher wage level.
Polyvinyl acetate as an edible coating for fruits. Effect on selected physiological and quality characteristics of tomato.

The application of polyvinyl acetate (PVA) was assessed as a potential protective edible coating in round-type tomato fruit (Lycopersicum esculentum Mill, cv. Gabriela) at the green stage of maturity. Coated and uncoated fruits were stored at ambient (20 °C, 40 % relative humidity, RH) and controlled (21 °C, 60 % RH) conditions during seven and 14 days and the effects on color, luminosity, weight loss, firmness, °Brix, vitamin C and respiration rate were studied. The polymeric coating did not significantly affect brightness, weight loss, and RR; however, environmental conditions at which the fruits were maintained had significant effects. Despite the statistically non-significant effects, our results showed that PVA coating was associated with slight protection of the fruit compared to uncoated fruits. This outcome is encouraging but suggests that more research is needed to consider these facts and control others that might be important in fruit ripening, such as molecular weight of the PVA, uniformity and thickness of PVA application.
Revision of the stick insect genus Leptynia: description of new taxa, speciation mechanism and phylogeography

Leptynia specimens were analyzed by karyotype analysis, mitochondrial gene sequencing and SEM of bodies and eggs. Here we describe a new species, Leptynia annaepaulae, and three subspecies of L. attenuata Pantel (L. attenuata attenuata, L. attenuata iberica, L. attenuata algarvica). The phylogeny of the genus Leptynia is congruent with a karyotype trend toward a reduction of chromosome number and the shift from the shared XX/X0 sex chromosome formula to the unusual XX/XY one. Chromosome repatterning appears to occur ahead of genetic differentiation, following a chromosome model of cladogenesis. Chromosome and genetic differentiation, in turn, appears to precede morphological distinction, thus realizing a condition of incipient species for most of the Leptynia taxa. Actually, morphological analyses revealed that, only rarely clear cut differences exist among and between taxa, while, more often, just trends in the differentiating traits occur, since the investigated characters generally suffer from some overlapping: In this study, only the 10th:9th ratio value and the subanal vomer appear to be diagnostic for L. annaepaulae against all other Leptynia taxa. As a consequence, the subanal vomer as well as cercus tooth features with egg chorion traits are not sharply diagnostic for the remaining co-generic taxa; however, comparisons are quite helpful in reducing uncertainties. A likely phylogeographic scenario for the genus supports that Leptynia ancestors spread from Northern Africa into Southern Spain where an ancestral taxon originated L. annaepaulae (2n = 40/39, XX/X0, with 2 large dibrachial pairs). Later on, a northbound colonization, should have originated L. caprai (2n = 40/39, XX/X0, all acrocentrics), from which L. montana (2n = 38, XX/X0) and L. attenuata (2n = 36, XY/XX) originated; supporting instances of chromosome repatterning have been actually observed. In this connection we like to stress that, particularly in stick insects, androgenesis has been a preferential pathway to quickly make homozygous those odd chromosome rearrangements likely responsible for low fitness in the heterozygotes.
The impact of NPM on the stress level of Australian nurses

This paper examines the links between the antecedents of workplace stress (social climate, communication practices and relative pay) and public sector nurses‟ perception of workplace stress. These antecedents of stress have been specifically chosen based on previous research identifying how the implementation of New Public sector Management has affected the quality of organisational management and communication factors. The findings from the regression analysis suggest that nurses‟ level of satisfaction with organisational factors affected by NPM accounted collectively for 11.6% of the variance of their perception of workplace stress. The findings also demonstrated that the specific individual factors were not significantly related to perceptions of workplace stress and it seems that no one organisational factor is dominant. Management practices therefore must be aligned with strengthening these organisational factors generally if perceptions of workplace stress are to be managed and in turn, organisational effectiveness is to be optimised.
Omnidirectional Vision-Based Control From Homography

Vision-based servoing schemes are flexible and effective methods to control robot motions from cameras observations (Hutchinson et al 1996). They are traditionally classified into three groups, namely position-based, image-based and hybrid-based control (Espiau et al 1992), (Hutchinson et al 1996), (Malis et al 1999). These three schemes make assumptions on the link between the initial, current and desired images since they require correspondences between the visual features extracted from the initial image with those obtained from the desired one. These features are then tracked during the camera (and/or the object) motion. If these steps fail the visually based robotic task can not be achieved. Typical cases of failure arise when matching joint images features is impossible (for example when no joint features belongs to initial and desired images) or when some parts of the visual features get out of the field of view during the servoing. Some methods have been investigated to resolve this deficiency based on path planning (Mezouar et al 2002), switching control (Chesi et al 2003), zoom adjustment (Benhimane et al 2003). However, such strategies are sometimes delicate to adapt to generic setup. Conventional cameras suffer thus from restricted field of view. There is significant motivation for increasing the field of view of the cameras. Many applications in vision-based robotics, such as mobile robot localization (Blaer et al 2002) and navigation (Winter et al 2000), can benefit from panoramic field of view provided by omnidirectional cameras. In the literature, there have been several methods proposed for increasing the field of view of cameras systems (Benosman et al 2000). One effective way is to combine mirrors with conventional imaging system. The obtained sensors are referred as catadioptric imaging systems. The resulting imaging systems have been termed central catadioptric when a single projection center describes the world-image mapping. From a theoretical and practical view point, a single center of projection is a desirable property for an imaging system (Baker et al 1999). Baker and Nayar in (Baker et al 1999) derive the entire class of catadioptric systems with a single viewpoint. Clearly, visual servoing applications can also benefit from such sensors since they naturally overcome the visibility constraint. Vision-based control of robotic arms, single mobile robot or formation of mobile robots appear thus in the literature with omnidirectional cameras (refer for example to (Barreto et al 2002), (Vidal et al 2003), (Mezouar et al 2004). Image-based visual servoing with central catadioptric cameras using
Kinetic Vlasov simulations of collisionless magnetic reconnection

A fully kinetic Vlasov simulation of the Geospace Environment Modeling Magnetic Reconnection Challenge is presented. Good agreement is found with previous kinetic simulations using particle in cell (PIC) codes, confirming both the PIC and the Vlasov code. In the latter the complete distribution functions fk (k=i,e) are discretized on a numerical grid in phase space. In contrast to PIC simulations, the Vlasov code does not suffer from numerical noise and allows a more detailed investigation of the distribution functions. The role of the different contributions of Ohm’s law are compared by calculating each of the terms from the moments of the fk. The important role of the off-diagonal elements of the electron pressure tensor could be confirmed. The inductive electric field at the X line is found to be dominated by the nongyrotropic electron pressure, while the bulk electron inertia is of minor importance. Detailed analysis of the electron distribution function within the diffusion region reveals the kinetic.
The digital library cloud storage based on Hadoop

This paper studies analyzes the relevant theories of library digital resource storage for its needs and characteristics, and constructs the digital model based on a"cloud storage" library, and makes an experiment and demonstration of the library "cloud storage" architecture model , at last deals with the library mass storage under the cloud storage and the solution to a large amount of data transmission problem.
The importance of compaction from an historical perspective

Compaction of soils has been used for as long as mankind had the need to improve the properties of the soil. Properties such as strength and bearing capacity increase with compaction, while the compressibility and permeability reduce. The earliest road builders did not understand the principles of modern day soil mechanics, instinctively they applied mechanical compaction to improve the properties of soils to be used for road construction purposes. In this regard compaction has through history proven to be one of the key processes in road construction. This paper is based on a literature study that was undertaken by the authors for the compilation of course notes for the South African Road Federation. It describes the historical development of compaction for road building purposes, starting with the first known compaction processes by the Mayan around 1500 BC through to modern day compaction techniques.
ELECTRONIC SYSTEM TO MEASURE PLANTAR FORCE DISTRIBUTION IN PATIENTS

This article describes an electronic system, projected to measure the force distribution under patients’ foot soles by instrumented soles with sensors. The system is basically composed of load cells installed in the soles, signal conditioning circuit, interfacing circuit and a computer, from which the measurement results can be read. It is possible to measure static and dynamic forces. Data visualization on the computer screen is displayed by a Visual Basic program. The system presents linear response with the applied force, small hysteresis, precision higher than 99.4%, in addition to its simple operation and handling. It could be used by sports and fitness professionals and other health area professionals to assist in the evaluation of specific programs that aim at increasing athletes’ performance.
Financial Development, Human Capital, and Economic Growth: A Cross Country Analysis

Taking a panel of 66 countries and employing panel data methodology, this stndy examines the impact of financial development, human capital and their interaction on economic growth. This study covers a period of 40 years from 1971 to 2010. To smooth out the short-run fluctuations in the data for my growth study, I take 5-year nonoverlapping averages of variables. As a proxy for fmancial development, I use private credit by deposit money banks or liquid liabilities, as a percent of GDP. In turn, human capital is represented by the percentage of population above 25 years of age with the secondary level of education. Using conditioning information and interaction terms, this stndy finds that financial development, as measured by credit to the private sector, and human capital are positively significant in explaining growth whereas another measure of financial development, liquid liabilities, is not significant in explaining growth. Moreover, the interaction term is not significant in explaining growth. When I introduce income dummies and region dummies, the results remain robust. The rate of convergence and the degree of impact do vary across countries at different income levels and in different regions. Another interesting result for my sample of countries is that human capital has a positive significant impact on growth of countries that had a lower initial level of human capital but not significant in countries that started out with a higher level
SARIMA Modeling and Forecasting of Seasonal Rainfall Patterns in India

Subbaiah Naidu K.CH.V Department of Mathematics, BT College, Madanapalle, India. Abstract: Rainfall is of critical importance for many people particularly those whose livelihoods are dependent on rain fed agriculture. Predicting the trend of rainfall is a difficult task in meteorology and environmental sciences. Statistical approaches from time series analysis provide an alternative way for predicting the patterns of rainfall. This paper describes an empirical study of modeling and forecasting seasonal rainfall patterns in India. The Box-Jenkins SARIMA Methodology has been adopted for forecasting, the diagnostic checking has shown that the seasonal model
Guideline-Based Decision Support Systems for Prevention and Management of Chronic Diseases

One of the greatest challenges in today’s health care is closing the gap between scientific evidence and medical practice. Keeping up with information in health care has never been easy, but with 500,000 clinical trials currently listed in the Cochrane Controlled Trials Register, and 75 clinical trials and 11 systematic reviews published daily (Bastian, 2010), physicians face unmanageable information processing tasks. It has been estimated that clinicians would have to read 20 papers a day to keep abreast of advances in biomedical knowledge (Shaneyfelt, 2001), and that it may take up to 20 years before findings from scientific studies are implemented in medical practice (Institute of Medicine [IOM], 2001). Medicine is not reaping the full benefits of research efforts, and much of the knowledge that is acquired in scientific studies is lost in translation. The lack of success in translating research findings into medical practice is particularly prevalent in the prevention and management of chronic diseases (Lenfant, 2003). For instance, the protective benefits of beta-blockers for patients who are recovering from myocardial infarction were established in 1981 (β-Blocker Heart Attack Study Group, 1981), and confirmed by several later studies. Yet in 1996, beta-blockers were being prescribed for only 62.5 percent of patients who had had a myocardial infarction in the U.S. (National Committee for Quality Assurance, 1997). Similarly, in 1983 it was shown that aspirin is a highly effective therapy in patients with acute myocardial infarction and unstable angina, and as long-term, secondary preventive therapy in patients with established cardiovascular disease (Awtry & Loscalzo, 2000). Nonetheless, in the year 2000 aspirin was being prescribed for at most one third of patients with coronary artery disease for whom there were no contraindications to its use (Stafford & Radley, 2003). Clinical practice guidelines are considered essential instruments to increase the application of scientific evidence to routine care (IOM, 2001). Guidelines summarize the available evidence for specific medical conditions, and provide cut-and-dried recommendations for common medical tasks such as screening, diagnosis, triage, treatment selection, and longterm management of patients. However, guidelines are often not followed in clinical practice. Implementing clinical practice guidelines in routine care has proved to be a challenging problem of its own. Computerised decision support is an effective means to solve this problem, as computers can provide, concurrent with care, reminders and advice
High Performance Energy Prediction using Hadoop with Spark

With the increasingly modern development of the power system. Along with that is the data source collected from them is huge. Combined with other systems such as GIS, MDMS-AMR (Automatic Meter Reading), weather forecast and socio-economic indicators. We consider performing an effective analysis of the data sources in order to understand the evolution, characteristics, and modeling of the power consumption system. Thereby predict future energy trends and build bases for the system model. To implement the issues raised, we appreciate using Hadoop platform for storage and segmentation data, enabling better handle large amounts of data initially. Then, the data was analyzed using the scalable machine learning algorithms - MLib was supported and developed on the Spark/SPARKNET platform. The Hadoop framework has recently evolved to the standard framework implementing the MapReduce model. In this paper, we evaluate Hadoop with Mlib/Sparknet performance in both the traditional model of collocated data and compute services as well as consider the impact of separating out the services. Energy modeling from multiple data sources such large may help to understand the change of the system according to consumer demand for practical, predictable trends of energy in the future and provide the basis for building energy models for similar systems.
Mono vision based construction of elevation maps in indoor environments

In this paper an approach to estimate the topography of indoor environments is presented. The system is based on a single camera system only. The topography of areas is often a matter of particular interest and has a wide range of navigational application. The ground surface is assumed to be completely planar; this is usually satisfied in indoor environments like apartments or even industrial facilities. While the camera system is moving images are acquired cyclically. Pixel correspondences and homographic relations are used to estimate the height above ground level for each visible point. Finally a high resolution elevation map is computed through inverse perspective mapping.
Teaching Genomics And Bioinformatics To Undergraduates Using Java

In this paper, we describe Java software that can be used to expose undergraduates to genomics. The content and software developed provide multidisciplinary knowledge to undergraduates in signal processing, genetics, and statistics. DNA, which is the fundamental storehouse of genetic information, is a linear polymer formed from four sub-units called nucleotides. The Java software is embedded in the ASU J-DSP visual programming environment. We have developed Java-DSP modules to present basic concepts about nucleotide character sequences. Specific J-DSP functions to analyze DNA sequences include: Numerical Mapping, FFT Power Spectrum, and Amino Acid Sequencing. Using the Numerical Mapping function, nucleotide sequences can be transformed into the numerical domain through binary, complex or integer number mappings. The FFT Power Spectrum block is used to compute the power spectrum of mapped sequences, and further classify them as belonging to either protein coding or non-coding regions. The above J-DSP blocks can also be integrated to form an internet visualization tool to identify genes in unannotated DNA sequences. A typical scenario is for a student to read a high-level DNA tutorial and execute our Java simulations. A series of learning modules and accompanying web-based exercises have also been developed. Exercises include: DNA fundamentals, numerical mapping of nucleotides, DNA power spectrum computation, and amino acid sequencing. The software and hands-on exercises have been assigned and assessed in the undergraduate DSP class at ASU.