Miracle-dz/UniFAR-FTUs huggingface dataset:
Overcomplete Blind Source Separation Based on Second Order Statistics

Overcomplete blind source separation (BSS) has been a difficult problem for a long time. This paper proposed a novel overcomplete BSS algorithm based on second statistics. The first step is complete decorrelation processing by principal component analysis (PCA), then one strong correlation signal chosen as one input signal by the first canonical correlation analysis (CCA). At last, source signal estimation can be completed by multi-steps CCA. Simulation results show that this novel overcomplete BSS algorithm can be simply realized and the computation burden is small. This overcomplete BSS algorithm may be have a broad project application. Keywords-BSS;overcomplete;second order statistics
Myocardial Energy Transport and Heart Failure

Abnormalities in myocardial energy metabolism occur in association with progression to congestive heart failure. Conceivably, alterations in cardiac energy metabolism may initiate trophic responses or remodeling noted in myocardium during various disease processes. This review will explore the relationship between myocardial remodeling, contractile dysfunction, and myocardial bioenergetics. Attention will be given to data obtained from studies performed using intact animal models, which emulate congestive heart failure in humans. These data will be considered in relation to studies performed in vitro or in transgenic models. Focus will also be directed towards mechanisms of mitochondrial oxidative phosphorylation regulation (OXPHOS) and high energy phosphate transport.
Scripts for Program Trace Visualization

Visualization tools have limited information available. On the other hand they allow the user to navigate freely in the event sequences, highlight specific events of kinds of events, and display, close to each other, events that have semantic, but not temporal, proximity. This navigation is done, almost invariably, in a graphical manner, by points and clicks. We believe that the usefulness of these abilities can be greatly enhanced by adding a command line to trace visualization systems.
The Fading Radio Emission from SN 1961V: Evidence for a Type II Peculiar Supernova?

Using the Very Large Array (VLA), we have detected radio emission from the site of SN 1961V in the Sc galaxy NGC 1058. With a peak flux density of 0.063 ± 0.008 mJy beam-1 at 6 cm and 0.147 ± 0.026 mJy beam-1 at 18 cm, the source is nonthermal, with a spectral index of -0.79 ± 0.23. Within errors, this spectral index is the same value reported for previous VLA observations taken in 1984 and 1986. The radio emission at both wavelengths has decayed since the mid-1980s observations with power-law indices of β20 cm = -0.69 ± 0.23 and β6 cm = -1.75 ± 0.16. We discuss the radio properties of this source and compare them with those of Type II radio supernovae and luminous blue variables.
Oracle TimesTen: An In-Memory Database for Enterprise Applications

In-memory databases can provide a significant performance advantage over disk-oriented databases since they avoid disk IO, and since their storage managers are built and optimized for complete memory residency. In this paper we describe the functionality of the Oracle TimesTen In-Memory Database – a full-featured memory optimized relational database. With SQL-92 and ACID compliance, TimesTen is used by thousands of customers in a variety of applications – both for high-performance OLTP applications as well as for Business Analytics applications. While TimesTen can be used as a standalone database, it can also be used as a high-performance transactional cache that seamlessly caches data from an underlying Oracle RDBMS. This configuration is suitable for Oracle RDBMS applications that require real-time management of some of their data and scale-out on private or public clouds.
Performance and Monetary Cost of Large-Scale Distributed Graph Processing on Amazon Cloud

Graph analytics has become essential to uncover relationship insights in complex systems. As graphs grow in scale, several graph-parallel frameworks including Pregel, GraphLab, and PowerGraph are developed based on commodity computers and/or Cloud instances. According to recent research and empirical performance evaluation, system optimization on PowerGraph allow it to outperform others significantly for processing natural graphs with skewed degree distribution. However, the performance characters, resource usage pattern and monetary cost have never been explored in-depth. In this paper, PowerGraph are evaluated with three different algorithms on Amazon EC2 instances with upto 768 CPU cores. We find that thegraph processing performance does not always increase with the increasing Cloud resources. Due to synchronization overheads, resources are not fully utilized. Graph processing tasks may prefer different execution strategies with specified number and type of Cloud instances to achieve high cost-efficiency, playing the trade-off between monetary cost and execution performance.
Valuing Assets in Retirement Saving Accounts

This paper compares the value of one dollar of an asset held in a tax-deferred account with one dollar of a similar asset held in a taxable account from the standpoint of providing future retirement income. Taxes that are due when assets are withdrawn from some retirement saving plans can make a dollar held inside a retirement account less valuable than a dollar held in a similar asset outside these accounts, particularly for those who are considering withdrawing assets from the tax-deferred accounts in the near future. This effect is more than offset, however, particularly for younger workers, by the benefits of many years of asset growth at pre-tax rates of return. This paper calibrates the value of the tax burden, and the benefit of compound growth, for assets held in retirement accounts, and describes the differences in relative valuation for households of different ages.
Tea Seed Oil and Health Properties

Tea Oil has a mild fragrant flavor that goes with anything. It’s not a heavy oil like Olive Oil, but thinner – more like almond oil. If the taste or “oiliness” of olive oil overpowers your food. Along with its mild taste and pleasant tea-like aroma, this oil touts impressive health benefits. Tea seed oil has a high smoke point, contains more monounsaturated fatty acids than olive oil, contains fewer saturated fatty acids than olive oil, contains high levels of Vitamin E, polyphenol antioxidants and both Omegas 3 and 6, but has less Omega 6 and Polyunsaturated Fats than olive oil. Health Benefits of tea seed oil are: it can be applied topically and consumed internally to obtain its health benefits, camellia oil can be used for skin, hair, has anti-cancer effects, effects boost immunity and reduces oxidative stress. Camellia oil is used for a variety of other purposes, for example for cooking, as machinery lubricant, as ingredient in beauty products like night creams, salves, in hair care products and perfumes and is used to coat iron products to prevent rusting.
“Can ants inspire robots?” Self-organized decision making in robotic swarms

In swarm robotics, large groups of relatively simple robots cooperate so that they can perform tasks that go beyond their individual capabilities [1], [2]. The interactions among the robots are based on simple behavioral rules that exploit only local information. The robots in a swarm have neither global knowledge, nor a central controller. Therefore, decisions in the swarm have to be taken in a distributed manner based on local interactions. Because of these limitations, the design of collective decision-making methods in swarm robotic systems is a challenging problem. Moreover, the collective decision-making method must be efficient, robust with respect to robot failures, and scale well with the size of the swarm.
The Evaluation of Post Implementation ERP Investment Performance by DEA Approach

The information technology (IT) management has become one of the critical factors that enterprises want to assess the business benefits and performances of ERP systems. This research tries to evaluate the relationship between ERP continuous investment and technical efficiency by using DEA approach. This study also utilizes the Tobit regression to investigate the relationship between efficiency scores and ERP continuous investment based on the concept of total costing ownership (TCO) for technology assets. The research results show as follows: (1) Maintenance expenses of ERP system whether on line or on the scene, has a favorable impact on company's technical efficiency. (2) Salary expenses of ERP personnel, has a favorable impact on company's technical efficiency. (3) Training expenses of ERP staffs has no significant impact on company's technical efficiency. (4) The company invests on ERP system continuously has positive affect on technical efficiency. (5) The local ERP systems show higher technical efficiency than international brands for those surveyed companies in Taiwan.
Ips typographus System : Terrestrial Kingdom Phylum Class Order Family Animalia Arthropoda Insecta Coleoptera Scolytidae

Ips typographus the European spruce bark beetle has caused many problems in Europe and Asia. It is a pest that mostly infects damaged spruce trees, but can also damage healthy trees as well. The effects of this pest have caused a great deal of economic loss as well as ecosystem change. Populations have increased throughout Asia and Europe, and a possibility of further expansion can exist as a cause of increasing temperature change. The importance of managing this pest has been realized, and speculation exists for possible methods of controlling and preventing damage caused by this species.
Orbital and freshwater forcing during the last interglacial: analysis of climate and vegetation response patterns

Abstract. Large-scale atmospheric patterns are examined on orbital timescales using the ECHO-G which explicitly resolves the atmosphere – ocean – sea ice dynamics. It is shown that in contrast to boreal summer where the climate mainly follows the local radiative forcing, the boreal winter climate is strongly determined by modulation of the atmospheric circulation. We find that during a positive phase of the Arctic Oscillation/North Atlantic Oscillation the convection in the tropical Pacific is below normal. The atmospheric circulation patterns induce non-uniform temperature anomalies, much stronger in amplitude than by the direct solar insolation. Together with the direct solar insolation this provides for a temperature drop over the Northern Hemisphere continents for 115 000 years before present, large areas over northern Asia and Alaska become a desert, and the grass land expanded to the north. The spatial pattern of temperature and vegetation changes differs from a more hemisphere-wide cooling, i.e. induced by oceanic freshwater in the northern North Atlantic. The signatures of different forcing mechanisms are important for the interpretation of proxy data as well as for the understanding of underlying mechanisms at the end of the last interglacial.
Calibration and compensation to large-scale multi-robot motion platform using laser tracker

When manufacturing large or super-large product, the use of multi-robot with motion platform becomes more and more popular. In the stage of equipment installation and adjustment, the relationship between the global coordinate system and the local coordinate systems must be acquire in order to control all the robot in a uniform coordinate system. In the same time, error compensation to motion platform must be done to improve precision of the manufacture equipment. Most methods in use do these work separately. By that way, more measuring work must be done and additional errors rise. In this paper, calibration of coordinate systems and error compensation to motion platform were done in the same time using laser tracker. The workload of measurement and stage producing new error decreased, efficiency and precision of calibration and compensation was improved.
Coupling Aware

In this work, we develop methods to reduce interconnect delay and noise caused by coupling. First, we introduce a novel problem that deals with coupling ? the Coupling-Free Routing (CFR) Problem. CFR takes a set of nets and tries to nd a one-bend couple-free routing for a subset of nets. A routed net must not couple with any other routed net. Granted, two nets can never be completely couple-free; we deene coupling as a boolean variable which is true when the coupling of the nets is greater than some threshold. We argue that this problem is useful in both global and detailed routing. Then, we present an exact algorithm for the CFR decision problem via a transformation to 2-satissability. The decision problem determines whether the given set of nets is coupling-free routable. Next, we introduce a new type of graph, the implication graph which models the dependencies associated with CFR. Also, we look at some of the properties associated with the graph. Finally, we develop three algorithms to eeciently solve the Maximum Coupling-Free Layout (MAX-CFL) problem. Given a set of nets, the problem is deened as nding a subset of nets that are coupling-free routable. The subset should have maximum size and/or criticality. The criticality of a net can be deened in a variety of ways e.g. timing slack, wirelength, etc. The rst algorithm, the greedy algorithm, is a simple, yet eeective method for nding a set of nets which have maximum criticality. The direct forcing algorithm uses the notion of forcing to nd a solution to the MAX-CFL problem. The nal algorithm we present is the implication algorithm. It uses properties associated with the implication graph and consistently nds the best solution in terms of number of nets 1 routed. Our experimental results show that the algorithms work eeectively on the ISPD98 and MCNC benchmarks.
EXPLORING THE ORIGIN OF LITHIUM, CARBON, STRONTIUM, AND BARIUM WITH FOUR NEW ULTRA METAL-POOR STARS

We present an elemental abundance analysis for four newly discovered ultra metal-poor stars from the Hamburg/ESO survey, with [Fe/H] ⩽ −4. Based on high-resolution, high signal-to-noise spectra, we derive abundances for 17 elements in the range from Li to Ba. Three of the four stars exhibit moderate to large overabundances of carbon, but have no enhancements in their neutron-capture elements. The most metal-poor star in the sample, HE 0233−0343 ([Fe/H] = −4.68), is a subgiant with a carbon enhancement of [C/Fe] = +3.5, slightly above the carbon-enhancement plateau suggested by Spite et al. No carbon is detected in the spectrum of the fourth star, but the quality of its spectrum only allows for the determination of an upper limit on the carbon abundance ratio of [C/Fe] < +1.7. We detect lithium in the spectra of two of the carbon-enhanced stars, including HE 0233−0343. Both stars with Li detections are Li-depleted, with respect to the Li plateau for metal-poor dwarfs found by Spite & Spite. This suggests that whatever site(s) produced C either do not completely destroy lithium, or that Li has been astrated by early-generation stars and mixed with primordial Li in the gas that formed the stars observed at present. The derived abundances for the α elements and iron-peak elements of the four stars are similar to those found in previous large samples of extremely and ultra metal-poor stars. Finally, a large spread is found in the abundances of Sr and Ba for these stars, possibly influenced by enrichment from fast rotating stars in the early universe.
On the Critical Behaviour, Crossover Point and Complexity of the Exact Cover Problem

Research into quantum algorithms for NP-complete problems has rekindled interest in the detailed study a broad class of combinatorial problems. A recent paper [l] applied the quantum adiabatic evolution algorithm to the Exact Cover problem for 3-sets (EC3), and provided an empirical evidence that the algorithm was polynomial. In this paper we provide a detailed study of the characteristics of the exact cover problem. We present the annealing approximation applied to EC3, which gives an over-estimate of the phase transition point. We also identify empirically the phase transition point. We also study the complexity of two classical algorithms on this problem: Davis-Putnam and Simulated Annealing. For these algorithms, EC3 is significantly easier than 3-SAT.
Comparative gene expression of Wigglesworthia inhabiting non-infected and Trypanosoma brucei gambiense-infected Glossina palpalis gambiensis flies

Tsetse flies (Glossina sp.) that transmit trypanosomes causing human (and animal) African trypanosomiasis (HAT and AAT, respectively) harbor symbiotic microorganisms, including the obligate primary symbiont Wigglesworthia glossinidia. A relationship between Wigglesworthia and tsetse fly infection by trypanosomes has been suggested, as removal of the symbiont results in a higher susceptibility to midgut infection in adult flies. To investigate this relationship and to decipher the role of W. glossinidia in the fly's susceptibility to trypanosome infection, we challenged flies with trypanosomes and subsequently analyzed and compared the transcriptomes of W. glossinidia from susceptible and refractory tsetse flies at three time points (3, 10, and 20 days). More than 200 W. glossinidia genes were found to be differentially expressed between susceptible and refractory flies. The high specificity of these differentially expressed genes makes it possible to distinguish Wigglesworthia inhabiting these two distinct groups of flies. Furthermore, gene expression patterns were observed to evolve during the infection time course, such that very few differentially expressed genes were found in common in Wigglesworthia from the 3-, 10- and 20-day post-feeding fly samples. The overall results clearly demonstrate that the taking up of trypanosomes by flies, regardless of whether flies proceed with the developmental program of Trypanosoma brucei gambiense, strongly alters gene expression in Wigglesworthia. These results therefore provide a novel framework for studies that aim to decrease or even abolish tsetse fly vector competence.
SOFA : Medium Access Control in Extreme Wireless Sensor Networks

This report introduces a MAC protocol for gossiping in mobile large-scale wireless sensor networks (WSNs). The s systems present novel challenges that cannot be handled by current state-of-the-art protocols, such as mobility, sca lability, and energy efficiency. We present the idea of SOFA (stop-on-t hefirst-ack), an opportunistic MAC protocol that supports gossip and leverages its characteristic i.e., peer selection, to e fficiently diffuse and process information while scaling to thousandsof nodes with hundreds of neighbors. We show a first evaluation of SOFA and how the stop-on-fist-ack idea can be applied to different kind of MACs to generate a whole new family of protocols.
Adjusting Stock Market Values to Exchange Rate Exposure: The Case of ASTRA, SCA and STORA

Europe's two largest forest product companies SCA and STORA are located in Sweden. One of the largest firms in Sweden is ASTRA, which is a pharmaceutical company. In this paper I analyze how the variance of these firms' values and their stock returns sensitivity to exchange rates and interest rates are affected by different hedging strategies. First are new share price series constructed there gains and losses due to not undertake any hedging practices for transaction and translation exposure are realized. There after are the exposure coefficients obtained from the adjusted share price compared to the exposure coefficients obtained using the firms core share price as a dependent variable. The results show that SCA and STORA manage to reduce the exchange rate exposure significantly, but that both SCA and STORA´s stock return are still sensitive to contemporaneous changes in exchange rates. The linear multiple regression method was unable to detect any significant exchange rate exposure for ASTRA. However, the hedging of translation and transaction exposure do not necessarily imply that the variance of the firm's value is reduced.
Distributed Energy-Efficient Clustering algorithm for Wireless Sensor Networks

Wireless sensor networks (WSNs) consist of a large number of limited capability (power and processing) Micro Electro Mechanical Systems (MEMS) capable of measuring and reporting physical variables related to their environment. In surveillance applications, sensors are deployed in a certain field to detect and report events like presence, movement, or intrusion in the monitored area. Minimizing energy dissipation and maximizing network lifetime are important issues in the design of applications and protocols for sensor networks. Energy-efficient sensor state planning consists in finding an optimal assignment of states to sensors in order to maximize network lifetime. The existing scheme developed a centralized mechanism for near-optimal state assignment to sensors in large-scale cluster-based monitoring wireless sensor networks. The existing one was based on a tabu algorithm that computes a near-optimal network configuration in which each sensor can be activated, put in sleep mode or promoted as cluster head. The existing mechanism maximizes network lifetime while ensuring the full coverage of the monitored area and the connectivity of the obtained configuration. Connectivity is fulfilled through an optimally computed spanning tree connecting all the cluster heads. Due to abnormal node distribution in case of land surveillance, the existing tabu based optimal energy setting become complex. In addition the tabu algorithm keeps the probabilistic event detection independent for the respective node. To overcome the abnormal node Distribution event detection triviality, distributed energy efficient algorithm is proposed in this work. The proposed work of this thesis, develop a more sophisticated heuristic to improve the network lifetime. The proposed scheme handles distance-dependent probabilistic event detection. The distance based probability is a function of the distance of the corresponding sensor from the event. The proposed system develop distributed algorithm which addresses the energy-efficient clustering under the joint coverage and routing constraint. The experimental simulations are carried for the proposed model using Network Simulator 2 (NS-2) for multiple simulation times, routing topology and energy coverage area.
Soil Compaction , Soil Shearing and Fuel Consumption : TASC V 3 . 0 – A Practical Tool for Decision-Making in Farm

Much vaunted advances in technology, aimed at increasing both production and productivity, have been at the expense of safeguarding soil structure. Soil compaction, soil shearing, ultimately erosion and sporadic standing water, observed in all of the major mechanized agricultural zones in Europe and elsewhere, attest to this. TASC (TYRES/TRACKS AND SOIL COMPACTION) is a validated Excel application consisting of five modules. The first one permits evaluation of the risks of severe soil compaction damage by taking into account soil characteristics and machine load. The evaluation is based on the pressure propagation – pre-compression stress concept. The second module simulates the traction force slip curve providing also the limit beyond which top soil failure occurs. The evaluation of the soil failure risk is based on the ratio of soil shear stress to soil strength concept. Traction and fuel consumption can be determined for different soil conditions, tractor and tillage equipment. The third module calculates the share of trafficked areas, with a breakdown into single or multiple transits. A fourth module provides access to the technical data for more than 1,270 agricultural and forestry tyres. A fifth and final module related to road safety provides information on the maximum authorized loads, bearing in mind tyre type, inflation pressure and speed.