Miracle-dz/UniFAR-FTUs huggingface dataset:
Approximated tensor sum preconditioner for stochastic automata networks

Some iterative and projection methods for SAN have been tested with a modest success. Several preconditioners for SAN have been developed to speedup the convergence rate. Recently Langville and Stewart proposed the nearest Kronecker product (NKP) preconditioner for SAN with a great success. Encouraged by their work, we propose a new preconditioning method, called approximated tensor sum preconditioner (ATSP), which uses tensor sum preconditioner rather than Kronecker product preconditioner. In ATSP, we take into account the effect of the synchronizations using an approximation technique. Our preconditioner outperforms the NKP preconditioner for the tested SAN Model
The Idea Storming Cube: Evaluating the Effects of Using Game and Computer Agent to Support Divergent Thinking

* Corresponding authors ABSTRACT The objective of this article is to evaluate the effectiveness of a collaborative and online brainstorming game, Idea Storming Cube (ISC), which provides users with a competitive game-based environment and a peer-like intelligent agent. The program seeks to promote students' divergent thinking to aid in the process of problem solving. The participants consisted of 72 11 th grade high school students who were assigned to one of three conditions: 1) information-based (ISCinfo), 2) game-based (ISCgame) and 3) game-based with peer-like intelligent agent (ISCgame-agent) conditions. The results revealed that the ISCgame and the ISCgame-agent facilitated diversified ideas in problem solving and were considered beneficial for brainstorming. Although the divergent thinking process may not transfer to problem solving results immediately, it is our hope that the empirical result can shed some lights on the development of game-based systems for collaborative learning and problem solving support.
Testing the Efficiency of software projects of Multiple Languages

Testing is essential to ensure software quality. In this paper we analyzed and implemented the framework to allow unit testing of both Java based GUI and XML, avoiding inefficiency and fault proneness. The principle idea is to test the efficiency of software projects done on different languages, using JUnit and JSwing. This can be ensured by defining the Average Percentage Fault Detected (APFD) metric, which finds the efficiency of the software using the smallest number of test cases in the sequence that need to be run in order to expose faults to total number of test cases.
METADATA STANDARDS AND METADATA REGISTRIES : AN OVERVIEW

Much work is being accomplished in the national and international standards communities to reach consensus on standardizing metadata and registries for organizing that metadata. This work has had a large impact on efforts to build metadata systems in the statistical community. Descriptions of several metadata standards and their importance to statistical agencies are provided. Applications of the standards at the Census Bureau, Environmental Protection Agency, Bureau of Labor Statistics, Statistics Canada, and many others are provided as well, with an emphasis on the impact a metadata registry can have in a statistical agency.
ontology-based approach to reuse of business process knowledge

The paper proposes an approach to reuse of business process knowledge based on domain en­ gineering, knowledge engineering and ontology­based systems engineering. The main idea of the proposed approach is to separate business process ontology and application domain ontology, and reuse the process ontology in different application domains. A notion of generic business process is introduced and is defined as a family of similar business processes. The two life cycles activity of location of generic business process in application domain is discussed.
Coyote Attacks on Humans, 1970-2015: Implications for Reducing the Risks

Beginning with the emerging pattern of urban and suburban coyotes (Canis latrans) attacking humans in southern California in the late 1970s, we analyzed information from reported attacks to better understand the factors contributing to changes in coyote behavior. We subsequently used updated data collected largely in urban and suburban environments in the United States and Canada during the past 30 years to develop strategies to reduce the risk of attacks. In the 1990s, increased incidents of coyote attacks were reported in states beyond California and in Canadian provinces. We documented 367 attacks on humans by coyotes from 1977 through 2015, of which 165 occurred in California. Of 348 total victims of coyote attack, 209 (60%) were adults, and 139 (40%) were children (age ≤10 years). Children (especially toddlers) are at greater risk of serious injury. The attacks exhibited seasonal patterns, with more occurring during the coyote breeding and pup-rearing season (March through August) than September through February. We reiterate management recommendations that, when enacted, have been demonstrated to eff ectively reduce risk of coyote attack in urban and suburban environments, and we note limitations of non-injurious hazing programs. We observed an apparent growing incidence of coyote attack on pets, an issue that we believe will drive coyote management policy at the local and state levels.
Research on Sentiment Tendency Analysis of Microtext Based on Sense Group

With the development of internet in China, Miccroblogging provides a new platform for communicating and sharing information among Web users. Users can express opinions and record daily life using microblogs. Microblogs that are posted by users indicate their interests to some extent. But it seems very hard to analyze the sentiment hided in Chinese Micro text because of its complexity. This paper proposes a new way to determine the sentiment tendency of Chinese micro text based on the partitioned Sense Group (STDSG). When to judge the sentiment tendency of Micro text, we first partition it into separate sense group, and then determine it's sentiment tendency based on Emotional Dictionary. And We aslo consider various factors which contain negations, degree adverbs and punctuations. The effectiveness of STDSG is strongly supported by the results of our experiments.
Dynamics of utilization, markets, trade and coalitions: sorghum and millets in Asia.

Production and consumption patterns of sorghum and millet in Asia have changed significantly in the last decade. While food use is declining, non-food or industrial uses are on the increase. This has implications on crop production and marketing with the entry of private industry in coarse cereal economies. This paper highlights the recent trends in the production, consumption and trade of sorghum and millet and spells out the need for a stronger coalition of sector stakeholders as a way of developing the non-food market by effectively linking farmers with new sources of demand for these crops.
Cognitive Stress Reduces the Effect of Levodopa on Parkinson's Resting Tremor

Resting tremor in Parkinson′s disease (PD) increases markedly during cognitive stress. Dopamine depletion in the basal ganglia is involved in the pathophysiology of resting tremor, but it is unclear whether this contribution is altered under cognitive stress. We test the hypothesis that cognitive stress modulates the levodopa effect on resting tremor.
Design of a class library for association relationships

Association is an important relationship that is supported in both UML and entity relationship database modeling tools. However, there is no language or library support in current object-oriented languages for implementing an association relationship. Instead, a complex implementation using references or collections of references must be handcrafted and laboriously maintained each time an association relationship is needed. In this paper, we develop an approach to supporting the association relationship through the design of a reusable class library that hides most of the complexity and guarantees that the consistency of the relationship is maintained automatically. Our current library implementation in C# draws on generic types with runtime type instantiation, runtime reflection on type parameters, annotations on classes, and runtime code generation. This set of language features seems to be necessary to provide effective support for association relationships.
A Micromachined Pressure Sensor with Integrated Resonator Operating at Atmospheric Pressure

A novel resonant pressure sensor with an improved micromechanical double-ended tuning fork resonator packaged in dry air at atmospheric pressure is presented. The resonator is electrostatically driven and capacitively detected, and the sensor is designed to realize a low cost resonant pressure sensor with medium accuracy. Various damping mechanisms in a resonator that is vibrating at atmospheric pressure are analyzed in detail, and a formula is developed to predict the overall quality factor. A trade-off has been reached between the quality factor, stress sensitivity and drive capability of the resonator. Furthermore, differential sense elements and the method of electromechanical amplitude modulation are used for capacitive detection to obtain a large signal-to-noise ratio. The prototype sensor chip is successfully fabricated using a micromachining process based on a commercially available silicon-on-insulator wafer and is hermetically encapsulated in a custom 16-pin Kovar package. Preliminary measurements show that the fundamental frequency of the resonant pressure sensor is approximately 34.55 kHz with a pressure sensitivity of 20.77 Hz/kPa. Over the full scale pressure range of 100–400 kPa and the whole temperature range of −20–60 °C, high quality factors from 1,146 to 1,772 are obtained. The characterization of the prototype sensor reveals the feasibility of a resonant pressure sensor packaged at atmospheric pressure.
Fair admission control model for aircrafts bundles data transmission for Delay Tolerant Networks

Aircrafts in commercial routes have been proposed in some previous work as a novel DTN bundle carriers [1]. Satellites can be one of the hops in this application. DTN suffers from intermittent disconnections, long delays and has scarce resources. It is a challenge to control the admission to these resources to provide better QoS and ensure optimum resource utilisation. Furthermore, providing fairness to different users who compete to access limited and scarce resources makes the solution even harder. In this paper, we propose a fair novel admission control model for DTN aircrafts applications based on feedback history logging of past admissions. This model will locally estimate the resources and provide fair admissions for users within a group of users in the same area. We will show an analysis of aircrafts fair admission control design for both aircraft initiated and user initiated approaches, which will provide integrated service per flow basis. The paper also presents the initial simulation model using a modified version of DTN2 emulator and DTNperf_2 performance monitoring tool.
Generation of rotational flow for formation of spheroid by using microfluidics device

Spheroid is important in the field of tissue engineering because it has a hole enabling efficient supply of oxygen and growth factors, and a vessel-like geometry is made by piling up it. But it is difficult to say that formation processes of toroidal-like spheroid is efficient, as most of them has done manually. In this study, we wish to suggest utility and possibility of applying microfluidics for formation of toroidal-like spheroid. The concept of our method is that cells are condensed by rotational flow in the microchannel and dielectrophoresis force. Some types of microchannels to generate rotational flow were designed with computer aided design (CAD) and analyzed with fluid analysis software. The superior microchannel was made, and NIH3T3 mouse embryo fibroblast cells suspension was flowed to it. As flow rates were changed, cells were rotated the microchannel just as our concept, and about 30% of them remained. This result support utility of our concept; toroidal-like spheroid can be formed under forces of rotational flow and dielectrophoresis.
Higher mortality in women after ST-segment elevation myocardial infarction in very young patients

Introduction Data on mortality in young patients with ST-segment elevation myocardial infarction (STEMI) when compared to older people or regarding therapeutic strategies are contradictory. We investigate the prognosis of women under 40 after STEMI in a prospective nationwide acute coronary syndrome registry. Material and methods We analyzed all 527 consecutive men and women (12.3% females) aged from 20 to 40 years (mean 35.7 ±4.5) presenting with STEMI, of all 26035 STEMI patients enrolled. Results Differences between genders in the major cardiovascular risk factors, clinical presentation, extent of the disease and time to reperfusion were insignificant. The majority of patients (67%) underwent coronary angiography followed by primary percutaneous coronary intervention (PCI) in 79.9% of them. A 92% reperfusion success rate measured by post-procedural TIMI 3 flow was achieved. There were no significant differences between genders in the administration of modern pharmacotherapy both on admission and after discharge from hospital. In-hospital mortality was very low in both genders, but 12-month mortality was significantly higher in women (10.8% vs. 3.0%; p = 0.003). Killip class 3 or 4 on admission (95% CI 19.6-288.4), age per 5-year increase (95% CI 1.01-3.73) and primary PCI (95% CI 0.1-0.93) affected mortality. In patients who underwent reperfusion there was moderately higher mortality in women than in men (7.1% vs. 1.9%; p = 0.046). Conclusions Despite little difference in the basic clinical characteristics and the management including a wide use of primary PCI, long-term mortality in women under forty after STEMI is significantly higher than in men.
ICHIGAN Security - A Security Architecture That Enables Situation-Based Policy Switching

Project ICHIGAN is a voluntary-based attempt to build a reference IT architecture for local governments that can withstand large-scale natural disasters. This architecture is unique in that 1) it has the concept of phases of the situation for which different priorities on non-functional requirements are applied, and 2) the functionalities and services provided by the IT systems in the suffered area will be taken over by those of the ``coupled'' local government. These features pose specific challenges on the information security policy, especially because different policies need to be applied for the different modes. This paper describes two key elements to enable the policy, policy templates and deferred authentication.
Real-time color segmentation of road signs

This subject is part of a more challenging research project aimed at developing a computer vision system, embedded in a car, and capable of identifying and locating road signs. Several constraints limit the possible solutions are first identified. For instance in such an application, we definitely need a real-time system; in addition, we wish to limit our choice to a single camera methodology to keep the hardware as simple as possible and finally our approach must work efficiently on low cost hardware. For this purpose we first rely on a color segmentation strategy to recognize the road signs. We have studied the behavior of the RGB components of several road signs from sunrise to sunset. From these results we have shown that the simple comparison of the RGB components taken two by two is sufficient to segment road signs in real-time. From this segmentation it should be much easier to identify the shape (and meaning) of a particular sign.
Murine therapeutic models for Charcot-Marie-Tooth (CMT) disease.

INTRODUCTION OR BACKGROUND Charcot-Marie-Tooth (CMT) disease represents a broad group of inherited motor and sensory neuropathies which can originate from various genetic aberrations, e.g. mutations, deletions and duplications. SOURCES OF DATA We performed a literature review on murine animal models of CMT disease with regard to experimental therapeutic approaches. Hereby, we focussed on the demyelinating subforms of CMT (CMT1). PubMed items were CMT, animal model, demyelination and therapy. AREAS OF AGREEMENT Patients affected by CMT suffer from slowly progressive, distally pronounced muscle atrophy caused by an axonal loss. The disease severity is highly variable and impairments may result in wheelchair boundness. No therapy is available yet. AREAS OF CONTROVERSY Numerous rodent models for the various CMT subtypes are available today. The selection of the correct animal model for the specific CMT subtype provides an important prerequisite for the successful translation of experimental findings in patients. GROWING POINTS Despite more than 20 years of remarkable progress in CMT research, the disease is still left untreatable. There is a growing number of experimental therapeutic strategies that may be translated into future clinical trials in patients with CMT. AREAS TIMELY FOR DEVELOPING RESEARCH The slow disease progression and insensitive outcome measures hamper clinical therapy trials in CMT. Biomarkers may provide powerful tools to monitor therapeutic efficacy. Recently, we have shown that transcriptional profiling can be utilized to assess and predict the disease severity in a transgenic rat model and in affected humans.
nScan-matching: simultaneous matching of multiple scans and application to SLAM

Scan matching is a popular way of recovering a mobile robot's motion and constitutes the basis of many localization and mapping approaches. Consequently, a variety of scan matching algorithms have been proposed in the past. All these algorithms share one common attribute: They match pairs of scans to obtain spatial relations between two robot poses. In this paper we present a method for matching multiple scans simultaneously. We discuss the need for such a method and describe how the result of such a multi-scan matching can be incorporated into relation-based SLAM in the Lu and Milios style
Early fixation of an optimal genetic code.

The evolutionary forces that produced the canonical genetic code before the last universal ancestor remain obscure. One hypothesis is that the arrangement of amino acid/codon assignments results from selection to minimize the effects of errors (e.g., mistranslation and mutation) on resulting proteins. If amino acid similarity is measured as polarity, the canonical code does indeed outperform most theoretical alternatives. However, this finding does not hold for other amino acid properties, ignores plausible restrictions on possible code structure, and does not address the naturally occurring nonstandard genetic codes. Finally, other analyses have shown that significantly better code structures are possible. Here, we show that if theoretically possible code structures are limited to reflect plausible biological constraints, and amino acid similarity is quantified using empirical data of substitution frequencies, the canonical code is at or very close to a global optimum for error minimization across plausible parameter space. This result is robust to variation in the methods and assumptions of the analysis. Although significantly better codes do exist under some assumptions, they are extremely rare and thus consistent with reports of an adaptive code: previous analyses which suggest otherwise derive from a misleading metric. However, all extant, naturally occurring, secondarily derived, nonstandard genetic codes do appear less adaptive. The arrangement of amino acid assignments to the codons of the standard genetic code appears to be a direct product of natural selection for a system that minimizes the phenotypic impact of genetic error. Potential criticisms of previous analyses appear to be without substance. That known variants of the standard genetic code appear less adaptive suggests that different evolutionary factors predominated before and after fixation of the canonical code. While the evidence for an adaptive code is clear, the process by which the code achieved this optimization requires further attention.
Optimal Portfolio Selection for General Provisioning and Terminal Wealth Problems

In Dhaene etÂ al. (2005), multiperiod portfolio selection problems are discussed, using an analytical approach to find optimal constant mix investment strategies in a provisioning or a savings context. In this paper we extend some of these results, investigating some specific, real-life situations. The problems that we consider in the first section of this paper are general in the sense that they allow for liabilities that can be both positive or negative, as opposed to Dhaene etÂ al. (2005), where all liabilities have to be of the same sign. Secondly, we generalize portfolio selection problems to the case where a minimal return requirement is imposed. We derive an intuitive formula that can be used in provisioning and terminal wealth problems as a constraint on the admissible investment portfolios, in order to guarantee a minimal annualized return. We apply our results to optimal portfolio selection.
Influence of the 2008 Kasatochi volcanic eruption on sulfurous and carbonaceous aerosol constituents in the lower stratosphere

Influences on stratospheric aerosol during the first four months following the eruption of Kasatochi volcano (Alaska) were studied using observations at 10700 ± 600 m altitude from the CARIBIC platform. Collected aerosol samples were analyzed for elemental constituents. Particle number concentrations were recorded in three size intervals together with ozone mixing ratios and slant column densities of SO2. The eruption increased particulate sulfur concentrations by a factor of up to 10 compared to periods before the eruption (1999–2002 and 2005–August 2008). Three to four months later, the concentration was still elevated by a factor of 3 in the lowermost stratosphere at northern midlatitudes. Besides sulfur, the Kasatochi aerosol contained a significant carbonaceous component and ash that declined in time after the eruption. The carbon‐to‐sulfur mass concentration ratio of the volcanic aerosol was 2.6 seven days after the eruption and reached 1.2 after 3–4 months.
Classification of traffic video based on a spatiotemporal orientation analysis

This paper describes a system for classifying traffic congestion videos based on their observed visual dynamics. Central to the proposed system is treating traffic flow identification as an instance of dynamic texture classification. More specifically, a recent discriminative model of dynamic textures is adapted for the special case of traffic flows. This approach avoids the need for segmentation, tracking and motion estimation that typify extant approaches. Classification is based on matching distributions (or histograms) of spacetime orientation structure. Empirical evaluation on a publicly available data set shows high classification performance and robustness to typical environmental conditions (e.g., variable lighting).