Miracle-dz/UniFAR-FTUs huggingface dataset:
Identification of Major Phenolic Compounds from Nephelium lappaceum L. and Their Antioxidant Activities

Nephelium lappaceum is a tropical fruit whose peel possesses antioxidant properties. Experiments on the isolation and identification of the active constituents were conducted, and on their antioxidant activity using a lipid peroxidation inhibition assay. The methanolic extract of N. lappaceum peels exhibited strong antioxidant properties. Sephadex LH-20 chromatography was utilized in the isolation of each constituent and the antioxidant properties of each was studied. The isolated compounds were identified as ellagic acid (EA) (1), corilagin (2) and geraniin (3). These compounds accounted for 69.3% of methanolic extract, with geraniin (56.8%) as the major component, and exhibited much greater antioxidant activities than BHT in both lipid peroxidation (77-186 fold) and DPPH• (42-87 fold) assays. The results suggest that the isolated ellagitannins, as the principal components of rambutan peels, could be further utilized as both a medicine and in the food industry.
Localization of UHF RFID labels with reference tags and Unscented Kalman Filter

To accomplish location-awareness in indoor scenarios Radio Frequency Identification (RFID) tags are often used for the localization. This paper only uses Received Signal Strength Indicator (RSSI) values from passive UHF RFID labels for the localization process. The RSSI values of reference tags (RTs) for which the locations are known are employed as side information for the localization of an RFID label (LT). For the localization of this LT an Unscented Kalman Filter (UKF) in combination with the RTs information is used. Simulations based on measured data achieve a localization accuracy of about 17cm with this localization method, compared to a localization error of 20cm without RTs and 83cm when only using k nearest neighbor (kNN) algorithm.
Oblique confinement and phase transitions in Chern-Simons gauge theories.

We investigate non-perturbative features of a planar Chern-Simons gauge theory modeling the long distance physics of quantum Hall systems, including a finite gap M for excitations. By formulating the model on a lattice, we identify the relevant topological configurations and their interactions. For M bigger than a critical value, the model exhibits an oblique confinement phase, which we identify with Lauglin's incompressible quantum fluid. For M smaller than the critical value, we obtain a phase transition to a Coulomb phase or a confinement phase, depending on the value of the electromagnetic coupling.
A Data Fusion Approach for Power Saving in Wireless Sensor Networks

Wireless sensor networks have developed with recent advancement in wireless communication and electronics. However, a system of sensor nodes is highly energy constrained. Limited energy resource to the sensor becomes an obstacle for its applications. Recently, data aggregation or fusion techniques for energy saving in wireless sensor networks have been the focus of research efforts, but they are insufficient to support advanced fusion applications. We extend these techniques to future sensor networks and proposed an architectural of fusion model build on network layer. Furthermore, this paper discusses the connection between the fusion level and energy consuming. Then various fusion techniques for minimizing the transmission cost in network are introduced. At last, a practical case shows that fusion approach for saving energy in wireless sensor network is very efficient
An Efficient Extraction of On-Road Object and Lane Information Using Representation Method

Robust and reliable lane detection is an important issue for driver assistance systems and self-guided systems. Input images acquired from a camera on moving vehicle need to be processed for lane and vehicular traffic detection. We propose an algorithm that uses a chain code detector for detecting lanes and detects vehicles using the horizontal lines formed by the vehicles at the edge of the images. In the first step, a vanishing point is obtained from both sides of the lane, which are obtained from the chain code analysis using the canny edge operator. In the second step, the driveways are decided by combining the vanishing point and the lane information on both sides of the moving vehicle. We define the lane properties and the limiting conditions for reliable lane detection. The robustness of proposed algorithm has been verified from experimental results of complex background images.
Motor Neurons Are Selectively Vulnerable to AMPA/Kainate Receptor-Mediated Injury In Vitro

The nonphosphorylated neurofilament marker SMI-32 stains motor neurons in spinal cord slices and stains a subset of cultured spinal neurons [“large SMI-32(+) neurons”], which have a morphology consistent with motor neurons identified in vitro: large cell body, long axon, and extensive dendritic arborization. They are found preferentially in ventral spinal cord cultures, providing further evidence that large SMI-32(+) neurons are indeed motor neurons, and SMI-32 staining often colocalizes with established motor neuron markers (including acetylcholine, calcitonin gene-related peptide, and peripherin). Additionally, choline acetyltransferase activity (a frequently used index of the motor neuron population) and peripherin(+) neurons share with large SMI-32(+) neurons an unusual vulnerability to AMPA/kainate receptor-mediated injury. Kainate-induced loss of these motor neuron markers is Ca2+-dependent, which supports a critical role of Ca2+ ions in this injury. Raising extracellular Ca2+exacerbates injury, whereas removal of extracellular Ca2+ is protective. A basis for this vulnerability is provided by the observation that most peripherin(+) neurons, like large SMI-32(+) neurons, are subject to kainate-stimulated Co2+ uptake, a histochemical stain that identifies neurons possessing Ca2+-permeable AMPA/kainate receptor-gated channels. Finally, of possibly greater relevance to the slow motor neuronal degeneration in diseases, both large SMI-32(+) neurons and peripherin(+) neurons are selectively damaged by prolonged (24 hr) low-level exposures to kainate (10 μm) or to the glutamate reuptake blockerl-trans-pyrrolidine-2,4-dicarboxylic acid (100 μm). During these low-level kainate exposures, large SMI-32(+) neurons showed higher intracellular Ca2+ concentrations than most spinal neurons, suggesting that Ca2+ ions are also important in this more slowly evolving injury.
High Level Expression and Purification of Recombinant Proteins from Escherichia coli with AK-TAG

Adenylate kinase (AK) from Escherichia coli was used as both solubility and affinity tag for recombinant protein production. When fused to the N-terminus of a target protein, an AK fusion protein could be expressed in soluble form and purified to near homogeneity in a single step from Blue-Sepherose via affinity elution with micromolar concentration of P1, P5- di (adenosine—5’) pentaphosphate (Ap5A), a transition-state substrate analog of AK. Unlike any other affinity tags, the level of a recombinant protein expression in soluble form and its yield of recovery during each purification step could be readily assessed by AK enzyme activity in near real time. Coupled to a His-Tag installed at the N-terminus and a thrombin cleavage site at the C terminus of AK, the streamlined method, here we dubbed AK-TAG, could also allow convenient expression and retrieval of a cleaved recombinant protein in high yield and purity via dual affinity purification steps. Thus AK-TAG is a new addition to the arsenal of existing affinity tags for recombinant protein expression and purification, and is particularly useful where soluble expression and high degree of purification are at stake.
Self-organized magnetic particles to tune the mechanical behavior of a granular system

Above a certain density a granular material jams. This property can be controlled by either tuning a global property, such as the packing fraction or by applying shear strain, or at the micro-scale by tuning grain shape, inter-particle friction or externally controlled organization. Here, we introduce a novel way to change a local granular property by adding a weak anisotropic magnetic interaction between particles. We measure the evolution of the pressure, P, and coordination number, Z, for a packing of 2D photo-elastic disks, subject to uniaxial compression. A fraction Rm of the particles have embedded cuboidal magnets. The strength of the magnetic interactions between particles is too weak to have a strong direct effect on P or Z when the system is jammed. However, the magnetic interactions play an important role in the evolution of latent force networks when systems containing a large enough fraction of the particles with magnets are driven through unjammed to jammed states. In this case, a statistically stable network of magnetic chains self-organizes before jamming and overlaps with force chains once jamming occurs, strengthening the granular medium. This property opens a novel way to control mechanical properties of granular materials.
Scalability of Machine to Machine systems and the Internet of Things on LTE mobile networks

Machine to Machine (M2M) systems are actively spreading, with mobile networks rapidly evolving to provide connectivity beyond smartphones and tablets. With billions of embedded devices expected to join cellular networks over the next few years, novel applications are emerging and contributing to the Internet of Things (IoT) paradigm. The new generation of mobile networks, the Long Term Evolution (LTE), has been designed to provide enhanced capacity for a large number of mobile devices and is expected to be the main enabler of the emergence of the IoT. In this context, there is growing interest in the industry and standardization bodies on understanding the potential impact of the scalability of M2M systems on LTE networks. The highly heterogeneous traffic patterns of most M2M systems, very different from those of smartphones and other mobile devices, and the surge of M2M connected devices over the next few years, present a great challenge for the network. This paper presents the first insights and answers on the scalability of the IoT on LTE networks, determining to what extent mobile networks could be overwhelmed by the large amount of devices attempting to communicate. Based on a detailed analysis with a custom-built, standards-compliant, large-scale LTE simulation testbed, we determine the main potential congestion points and bottlenecks, and determine which types of M2M traffic present a larger challenge. To do so, the simulation testbed implements realistic statistical M2M traffic models derived from fully anonymized real LTE traces of six popular M2M systems from one of the main tier-1 operators in the United States.
Robust Hedging of Withdrawal Guarantees (Extended Version)

Withdrawal guarantees ensure the periodical deduction of a constant dollar-amount from a fund investment for a fixed number of periods. If the fund depletes before the last withdrawal, the guarantor has to finance the outstanding withdrawals. We derive a robust hedging strategy which leads to closed form solutions for the guarantee value.
Overview of Connectionist Control Using Mlp

Dans ce rapport, nous nous int eressons a l'ensemble des techniques qui ont et e propos ees dans le cadre de l'identiication et de la commande connexionniste. Apr es une pr esentation du domaine, nous insistons plus particuli erement sur les points suivants. Dans un premier temps, nous poserons les probl emes relatifs a l'application des r eseaux connexionnistes a l'identiication et la commande de proc ed es. Dans un second temps, nous presenterons les caract eristiques et sp eciicit es des techniques d'apprentissage num erique et plus particuli erement des r eseaux connexionnistes par rapport aux m eth-odes classiques. Nous proc edons en suite a une classiication et a une pr esentation de ces techniques en quatre cat egories : les techniques relatives a l'identiication, l'apprentissage du mod ele de commande connexionniste gr^ ace a un mod ele de commande existant, l'apprentissage direct du mod ele de com-mande connexionniste et ennn l'apprentissage indirect de ce mod ele. A la n de chaque section, nous pr esentons un ensemble d'applications repr esentatives des techniques pr esent ees. Abstract In this report, we investigate the application of connectionist techniques to identiication and process control. After a general presentation, we focus on several aspects, mainly: problems related to the application of connectionist networks to the particular eld of identiication and control, and characteristics and speciicities of numerical learning techniques and connectionist networks, as compared to classical techniques. We then classify and present these techniques in four categories: rst those concerning identiication, then connectionist controller learning through an existing controller, direct identiication of the neural controller, and indirect learning approaches. In the end of each section we present some explanatory applications of the methods presented.
The Link between Teacher Quality and Student Outcomes: A Research Synthesis.

This work was originally produced in whole or in part by the National Comprehensive Center for Teacher Quality with funds from the U.S. Department of Education under cooperative agreement number S283B050051. The content does not necessarily reflect the position or policy of the Department of Education, nor does mention or visual representation of trade names, commercial products, or organizations imply endorsement by the federal government.
Social television and user interaction

At first glance, the notion of social interactive television seems to be a tautology. Television watching has always been a social activity. People watch television together in their living rooms, and outside their homes they talk about last night's football match; and even call each other to recommend an interesting program. Unfortunately, until recently, research on social interactive television has been scarce. One limiting factor for the development of innovative services for the home is the interactive technology behind user interaction, which was limited to the remote control. Fortunately, a number of studies concentrate on extending interactive methods, for example by using contextual information. This article reviews the state of the art in these two directions: the social aspects of television and user interaction. We conclude with a research agenda for further research, which might transform current interactive television services into shared experiences.
FLUCTUATIONS, NOISE AND SCALING IN THE CARDIO-PULMONARY SYSTEM

The structure and the functioning of cardio-pulmonary system is complex and statistical physics appear to be suitable for their characterization. In this review, we examine scaling in cardio-pulmonary physiology. The focus will be on the interpretation of scaling behaviors and their relation to structure-function in the normal and diseased cardio-pulmonary system. First, we overview fluctuations and scaling in respiratory rate variability in terms of a neural network model. Next, we analyze fluctuations in human heartbeat dynamics under healthy and pathologic conditions using wavelets and multifractal approaches. We then discuss avalanche behavior of airway openings as well as scaling behavior of crackling sound generated during the process of airway openings. We also examine the relationship between the observed scaling properties and the design features of the pulmonary vascular tree. Finally, we show how the network failure of lung tissue structure leads to emphysema, a leading cause of respiratory dis.
Fundamental Equilibrium Exchange Rates for the G7

The Fundamental Equilibrium Exchange Rate (FEER) is the real exchange rate which produces a current account that is exactly matched by equilibrium medium-term capital flows. This paper sets out a small model to calculate FEERs for the G7 from 1971 to 1988. This model's parameters are either directly estimated or derived from the long-run properties of a larger world econometric model, GEM. Particular attention is paid to feedbacks from the FEER to the NAIRU, and interactions between world output, trade and commodity prices.
The crisis of value and the ethical economy

This article argues that the information economy is split in two. On the one hand, there is the traditional capitalist economy that works with monetary incentives. This economy still handles the main part of material production: the production of cars, shoes, computer chips, and the transportation and maintenance of these goods. But immaterial production- the production of the ideas, innovations, experiences and other intangibles that virtually everybody agrees to be the most important source of value and development-is increasingly performed by another economy that does not primarily move according to monetary incentives. We provide a provisional analysis of the value logic of this non-monetary, ethical economy and point at three future scenarios in which the ethical economy challenges the hegemony of global capitalism.
Semiclassical limit of the scattering transform for the focusing Nonlinear Schr

The semiclassical limit of the focusing Nonlinear (cubic) Schr\" odinger Equation (NLS) corresponds to the singularly perturbed Zakharov Shabat (ZS) system that defines the direct and inverse scattering transforms (IST). In this paper, we derive explicit expressions for the leading order terms of these transforms, which are called semiclassical limits of the direct and inverse scattering transforms. Thus, we establish an explicit connection between the decaying initial data of the form $q(x,0)=A(x)e^{iS(x)}$ and the leading order term of its scattering data. This connection is expressed in terms of an integral transform that can be viewed as a complexified version of an Abel type transform. Our technique is not based on the WKB analysys of the ZS system, but on the inversion of the modulation equations that solve the inverse scattering problem in the leading order. The results are illustrated by a number of examples.
Time delay effects on AMB systems

Active Magnetic Bearing (AMB) system has been used in higher rotating speed and higher precision rotor system, the influence of time-delay can't be neglected. The focus of this paper is presents the influence and demonstration of the system time delay effects on AMB system that has been usually disregarded. Then, we present both explicit formulas and numerical solutions to determine the maximum delay time which causes onset of system instability. Numerical simulation results of time delay effects on Single-DOF AMB system are presented in detail.
Lysophosphatidic Acid Signaling in Late Cleavage and Blastocyst Stage Bovine Embryos

Lysophosphatidic acid (LPA) is a known cell signaling lipid mediator in reproductive tissues. In the cow, LPA is involved in luteal and early pregnancy maintenance. Here, we evaluated the presence and role of LPA in bovine early embryonic development. In relevant aspects, bovine embryos reflect more closely the scenario occurring in human embryos than the mouse model. Transcription of mRNA and protein expression of enzymes involved in LPA synthesis (ATX and cPLA2) and of LPA receptors (LPAR1–4) were detected in Days 5 and 8 in vitro produced embryos. Embryonic LPA production into culture medium was also detected at both stages of development. Supplementation of culture medium with LPA (10−5 M) between Days 2 and 8 had no effect on embryo yield and quality and on blastocyst relative mRNA abundance of genes involved in prostaglandin synthesis (PTGS2, PGES, and PGFS) and steroidogenesis (3β HSD). However, LPA treatment affected transcription levels of embryo quality markers, decreasing BAX (apoptotic) and increasing BCL2 (antiapoptotic) and IGF2R (growth marker) gene transcription levels. Blastocyst transcription of OCT4 (pluripotency marker) was not affected by LPA stimulation. In conclusion, LPA is an early bovine embryonic autocrine/paracrine signaling mediator, and LPA action may be relevant in early embryo-maternal interactions leading to embryonic survival.
Multidisciplinary rehabilitation for chronic low back pain: systematic review

Abstract Objective: To assess the effect of multidisciplinary biopsychosocial rehabilitation on clinically relevant outcomes in patients with chronic low back pain. Design: Systematic literature review of randomised controlled trials. Participants: A total of 1964 patients with disabling low back pain for more than three months. Main outcome measures: Pain, function, employment, quality of life, and global assessments. Results: Ten trials reported on a total of 12 randomised comparisons of multidisciplinary treatment and a control condition. There was strong evidence that intensive multidisciplinary biopsychosocial rehabilitation with functional restoration improves function when compared with inpatient or outpatient non-multidisciplinary treatments. There was moderate evidence that intensive multidisciplinary biopsychosocial rehabilitation with functional restoration reduces pain when compared with outpatient non-multidisciplinary rehabilitation or usual care. There was contradictory evidence regarding vocational outcomes of intensive multidisciplinary biopsychosocial intervention. Some trials reported improvements in work readiness, but others showed no significant reduction in sickness leaves. Less intensive outpatient psychophysical treatments did not improve pain, function, or vocational outcomes when compared with non-multidisciplinary outpatient therapy or usual care. Few trials reported effects on quality of life or global assessments. Conclusions: The reviewed trials provide evidence that intensive multidisciplinary biopsychosocial rehabilitation with functional restoration reduces pain and improves function in patients with chronic low back pain. Less intensive interventions did not show improvements in clinically relevant outcomes. What is already known on this topic Disabling chronic pain is regarded as the result of interrelating physical, psychological, and social or occupational factors requiring multidisciplinary intervention Two previous systematic reviews of multidisciplinary rehabilitation for chronic pain were open to bias and did not include any of the randomised controlled trials now available What this study adds Intensive, daily biopsychosocial rehabilitation with a functional restoration approach improves pain and function in chronic low back pain Less intensive interventions did not show improvements in clinically relevant outcomes It is unclear whether the improvements are worth the cost of these intensive treatments
Applicability of an Arrhenius Model for the Combined Effect of Temperature and CO2 Packaging on the Spoilage Microflora of Fish

ABSTRACT The temperature behavior of the natural microflora on the Mediterranean fish red mullet (Mullus barbatus) was examined as a case study. The growth of the spoilage bacteriaPseudomonas spp. , Shewanella putrefaciens,Brochothrix thermosphacta, and lactic acid bacteria was modeled as a function of temperature and the concentration of carbon dioxide in modified atmosphere packaging. Combined models were developed and comparatively assessed based on polynomial, Belehradek, and Arrhenius equations. The activation energy parameter of the Arrhenius model, EA, was independent of the packaging atmosphere and ranged from 75 to 85 kJ/mol for the different bacteria, whereas the preexponential constant decreased exponentially with the packaging CO2 concentration. We evaluated the applicability of the models developed by using experimental bacterial growth rates obtained from 42 independent experiments performed with three Mediterranean fish species and growth rates predicted from the models under the same temperature and packaging conditions. The accuracy factor and bias factor were used as statistical tools for evaluation, and the developed Arrhenius model and the Belehradek model were judged satisfactory overall.