Miracle-dz/UniFAR-FTUs huggingface dataset:
Characterization of fine particles using optomagnetic measurements

The rotational dynamic of magnetic nanoparticle (MNP) suspensions in magnetic fields are important for a number of biomedical application raging from hyperthermia, magnetic resonance imaging (MRI), to bio-detection assays. Recently, optomagnetic measurements have been used to study the change of MNP dynamics in biomedical agglomeration assays [1]. The technique relies on synchronized measurements of the complex 2 nd harmonic modulation of light transmission through a suspension of MNPs, in response to an oscillating applied magnetic field, B ( t ) = B 0 sin(2 π ft ). Here, we present measurements of 0 2 / V V , where 0 V is the average transmitted light intensity, vs. the frequency f and amplitude B 0 of the magnetic field on a suspension of MNPs with a remnant magnetic moment and a nominal diameter of 80 nm (# 10-00-801 , Micromod, DE). Figs. 1a-b show 2 V ′ and 2 V ′′ vs. f for the indicated values of B 0 . We first show that the Brownian relaxation frequency of the MNPs can be extracted as the frequency where 2 V ′′ crosses zero. Next, we demonstrate for the first time that the distribution of MNP remnant magnetic moments can be extracted from the field-dependence of the low-frequency signal magnitude 2 V (Fig. 1c). The line in Fig. 1c is a fit to a model assuming equilibrium dynamics and the distribution of magnetic moments shown in the inset. The value of the Brownian relaxation frequency corresponds well to that obtained from AC susceptibility measurements and the remnant magnetic moment corresponds well to that estimated from magnetic hysteresis measurements.
In situ radiation influence on strain measurement performance of Brillouin sensors

A new approach is proposed to monitor in situ the influence of gamma radiations on Brillouin properties of optical fiber extensometers. Experimental results are illustrated with the characterization of two fibers samples up to total dose of about 600Gy. The Brillouin frequency shift remains unaffected at such radiations level, as well as the spectral Brillouin signature or its dependence with strain. Meanwhile, propagation losses increase under radiations with an amplitude related to fiber dopants. The target application is nuclear wastes repository monitoring where higher doses are expected. UV radiation preliminary tests show that compaction phenomenon may occur at such high doses, inducing Brillouin frequency shift up to 20 MHz.
SiO2/SiC Interfacial Region: Presence of Silicon Oxycarbides and Effects of Hydrogen Peroxide and Water Vapor Thermal Treatments

This work provides data corroborating the presence of silicon oxycarbides (SiOxCy) in the SiO2/SiC interface region. Besides, it presents results on the efficiency of hydrogen peroxide annealings for reducing the SiO2/SiC interfacial region thickness. Finally, influences of water vapor thermal treatments on dielectric films thermally grown are presented. In most of the samples, isotopes rare in nature (18O and 2H) were used in thermal treatments associated with ion beam analyses.
Channel allocation in SDMA cellular systems

Spatial division multiple access (SDMA) is recognized as a promising technique for improving capacity in future cellular systems, by exploiting the spatial filtering capability of adaptive antennas. In SDMA systems, in-cell users can share the same channel, making the channel allocation strategy play an important role in the system performance. In this paper, we analyze by simulation different strategies for channel allocation in cellular systems employing adaptive antennas and SDMA technique. Results show that high performance in SDMA systems is achieved by balancing channel reuse among cells with channel reuse within cells. Attempts to maximize channel reuse within cells may increase excessively cochannel interference, limiting capacity. Results also show that, while carried traffic is not severely affected by high level of user mobility, other performance parameters, such as the number of channel reassignment requests, are strongly affected by user mobility.
Four PPPPerspectives on computational creativity in theory and in practice

ABSTRACT Computational creativity is the modelling, simulating or replicating of creativity computationally. In examining and learning from these “creative systems”, from what perspective should the creativity of a system be considered? Are we interested in the creativity of the system's output? Or of its creative processes? Features of the system? Or how it operates within its environment? Traditionally computational creativity has focused more on creative systems' products or processes, though this focus has widened recently. Creativity research offers the Four Ps of creativity: Person/Producer, Product, Process and Press/Environment. This paper presents the Four Ps, explaining each in the context of creativity research and how it relates to computational creativity. To illustrate the usefulness of the Four Ps in taking broader perspectives on creativity in its computational treatment, the concepts of novelty and value are explored using the Four Ps, highlighting aspects of novelty and value that may otherwise be overlooked. Analysis of recent research in computational creativity finds that although each of the Four Ps appears in the body of computational creativity work, individual pieces of work often do not acknowledge all Four Ps, missing opportunities to widen their work's relevance. We can see, though, that high-status computational creativity papers do typically address all Four Ps. This paper argues that the broader views of creativity afforded by the Four Ps is vital in guiding us towards more comprehensively useful computational investigations of creativity.
Layered quantize-forward for the two-way relay channel

This paper proposes two new coding schemes for the discrete memoryless two-way relay channel. The main target is to show the benefits of compress-forward without Wyner-Ziv binning and of layered relaying in networks wherein a relay is to help multiple destinations, that may have unequal channel quality and/or have access to different side information. Numerical results for a Gaussian channel show that the new coding schemes outperform variants of compress-forward relaying and offer a good trade-off between achievable rates and complexity and decoding delay. The idea can also be applied to other relay networks.
Impulsive parametric damping in energy harvesting

In this paper, an electro-mechanical system with a time-varying damper, which is capable of changing the damping coefficient impulsively, is considered. The effect of the impulsive parametric damping to the modal energy content of the mechanical system is investigated analytically as well as numerically. First, the governing differential equation is presented and then the solution of the system's response is obtained through numerical integration. The energy dissipated by the damper is then calculated to investigate the amount of the energy that can be harvested, and the results are compared with the results from a system without parametric impulses. It is shown, that the amount of the harvested energy can be increased by introducing parametric impulses. Then, an analytical formulation is derived for the system using Dirac-Delta impulses and the analytical results are validated with numerical simulations. The device is subjected to an initial condition and therefore is vibrating freely without any base excitation. This could be used for applications such as harvesting energy from the passage of a train, where the train vibration can introduce an initial velocity to the harvester and the energy can then be extracted from the free vibration of the harvester.
Building Semantic Robot Space based on the Semantic Web

The robot space is a ubiquitous environment in which the networked robot plays the role of main mediator that accepts the sensor data from the environment, interprets the data to understand the situation, and decides the actions to perform. Semantic robot space provides the high-level data model of the robot space that enables context-aware service execution. We designed the semantic robot space based on the semantic Web technology, which provided crucial advantages in architecting dynamic reconfiguration mechanism. The standard nature of the technology leverages the interaction among stake-holders in building robot spaces, which makes it possible to establish public registry-based construction of the semantic robot space. We conclude that semantic robot space based on the semantic Web not only embellishes the intelligence of robots but also reduces the cost of installing and maintaining robot spaces.
Integrating Adenovirus–Adeno-Associated Virus Hybrid Vectors Devoid of All Viral Genes

ABSTRACT Recently, we demonstrated that inverted repeat sequences inserted into first-generation adenovirus (Ad) vector genomes mediate precise genomic rearrangements resulting in vector genomes devoid of all viral genes that are efficiently packaged into functional Ad capsids. As a specific application of this finding, we generated adenovirus–adeno-associated virus (AAV) hybrid vectors, first-generation Ad vectors containing AAV inverted terminal repeat sequences (ITRs) flanking a reporter gene cassette inserted into the E1 region. We hypothesized that the AAV ITRs present within the hybrid vector genome could mediate the formation of rearranged vector genomes (ΔAd.AAV) and stimulate transgene integration. We demonstrate here that ΔAd. AAV vectors are efficiently generated as by-products of first-generation adenovirus-AAV vector amplification. ΔAd. AAV genomes contain only the transgene flanked by AAV ITRs, Ad packaging signals, and Ad ITRs. ΔAd. AAV vectors can be produced at a high titer and purity. In vitro transduction properties of these deleted hybrid vectors were evaluated in direct comparison with first-generation Ad and recombinant AAV vectors (rAAVs). The ΔAd. AAV hybrid vector stably transduced cultured cells with efficiencies comparable to rAAV. Since cells transduced with ΔAd. AAV did not express cytotoxic viral proteins, hybrid viruses could be applied at very high multiplicities of infection to increase transduction rates. Southern analysis and pulsed-field gel electrophoresis suggested that ΔAd. AAV integrated randomly as head-to-tail tandems into the host cell genome. The presence of two intact AAV ITRs was crucial for the production of hybrid vectors and for transgene integration. ΔAd. AAV vectors, which are straightforward in their production, represent a promising tool for stable gene transfer in vitro and in vivo.
Estradiol Treatment Prevents Injury Induced Enhancement in Spinal Cord Dynorphin Expression

Administration of the ovarian steroid estradiol in male and female animals has been shown to have neuromodulatory and neuroprotective effects in a variety of experimental models. In the present study, spinal tissues from dermatomes just above (T5–T7, at level) a severe chronic spinal cord injury (SCI) at T8 were analyzed for expression levels of prodynorphin (PRDN) and phospho-(serine 369) κ-opioid receptor (KOR-P) in 17 β estradiol (EB)- and placebo-treated adult male rats. Dynorphin was targeted since (1) it has previously been shown to be elevated post-SCI, (2) intrathecal injection of dynorphin produces several of the same adverse effects seen with a SCI, and (3) its increased expression is known to occur in a variety of different experimental models of central neuropathic pain. A significant elevation of extracellular levels of both PRDN and KOR-P in the placebo-treated SCI group relative to uninjured surgical sham controls was found in spinal tissues above the injury level, indicating increased dynorphin levels. Importantly, the EB-treated SCI group did not show elevations of PRDN levels at 6 weeks post-injury. Immunohistochemical analysis of at level tissues revealed that EB treatment significantly prevented a post-SCI increase in expression of PRDN puncta co-labeling synapsin I, a nerve terminal marker. The dynorphin-containing terminals co-labeled vesicular glutamate receptor-2 (a marker of glutamatergic terminals), a finding consistent with a non-opioid basis for the adverse effects of dynorphin. These results support a beneficial role for EB treatment post-SCI through a reduction in excessive spinal cord levels of dynorphin. Studies manipulating the timing of the EB treatment post-injury along with specific functional assessments will address whether the beneficial effects are due to EB’s potential neuromodulatory or neuroprotective action.
On creating reference templates for speaker independent recognition of isolated words

The three aspects of a statistical approach to a pattern recognition problem are the selection of features, choice of a measure of similarity, and a method for creating the reference templates (patterns) used in the statistical tests. This paper discusses a philosophy for creating reference templates for a speaker independent, isolated word recognition system. Although there remain many unanswered questions both about how to select appropriate features for recognition, and how to measure similarity between sets of features, such issues are not discussed here. Instead we concentrate on methods for creating the reference templates. In particular, a method of combining word patterns from a number of speakers is proposed in which a clustering type of analysis is used to determine which patterns are merged to create a word template. The creation of multiple templates, based on this method, is discussed and is shown to be of substantial value for as few as eight speakers in the training set. To test the ideas proposed here, a 54 word vocabulary word recognition system was implemented. All input words were recorded off a standard telephone line. The features used were the LPC coefficients of an 8-pole analysis, and the simple Itakura distance measure was used to measure similarity between patterns. With word templates obtained as described above, recognition accuracies of 85 percent were obtained in a forced choice recognition test on the 54 word vocabulary using eight new speakers. The correct word was within the top five choices 98 percent of the time. Using a strategy in which all the training words were used to create the templates, the recognition accuracy fell to 77 percent, and the correct word was within the top five choices only 89 percent of the time.
Knowledge-Free Induction of Inflectional Morphologies

We propose an algorithm to automatically induce the morphology of inflectional languages using only text corpora and no human input. Our algorithm combines cues from orthography, semantics, and syntactic distributions to induce morphological relationships in German, Dutch, and English. Using CELEX as a gold standard for evaluation, we show our algorithm to be an improvement over any knowledge-free algorithm yet proposed.
An optical measurement method about line width of pulse laser

The line width of pulse laser is key index to some laser applications. Using finite interferences of high accuracy Fabry- Perot etalon we can measure line width of pulse laser. By this method the line width of a single-longitudinal-mode Nd:YAG laser can be obtained. Reflectance of the etalon used reach 99.8%. The finesse was 300. The accuracy of full width of half height(FWHH) was about 2MHz. It is suitable to measure pulse laser with about 10ns pulse width and 100MHz line width with these parameters.
Emergent Opinion Dynamics on Endogenous Networks

In recent years networks have gained unprecedented attention in studying a broad range of topics, among them in complex systems research. In particular, multi-agent systems have seen an increased recognition of the importance of the interaction topology. It is now widely recognized that emergent phenomena can be highly sensitive to the structure of the interaction network connecting the system's components, and there is a growing body of abstract network classes, whose contributions to emergent dynamics are well-understood. However, much less understanding have yet been gained about the effects of network dynamics, especially in cases when the emergent phenomena feeds back to and changes the underlying network topology. Our work starts with the application of the network approach to discrete choice analysis, a standard method in econometric estimation, where the classic approach is grounded in individual choice and lacks social network influences. In this paper, we extend our earlier results by considering the endogenous dynamics of social networks. In particular, we study a model where the behavior adopted by the agents feeds back to the underlying network structure, and report results obtained by computational multi-agent based simulations
Honda humanoid robots development

Honda has been doing research on robotics since 1986 with a focus upon bipedal walking technology. The research started with straight and static walking of the first prototype two-legged robot. Now, the continuous transition from walking in a straight line to making a turn has been achieved with the latest humanoid robot ASIMO. ASIMO is the most advanced robot of Honda so far in the mechanism and the control system. ASIMO's configuration allows it to operate freely in the human living space. It could be of practical help to humans with its ability of five-finger arms as well as its walking function. The target of further development of ASIMO is to develop a robot to improve life in human society. Much development work will be continued both mechanically and electronically, staying true to Honda's ‘challenging spirit’.
Swarm Control in Unmanned Aerial Vehicles

Swarm control is an open problem. We are taking steps for systematic flight control of large numbers of UAVs. In this paper, we present our design and implementation of UAV group control in a fully implemented simulated UAV environment. We explore issues of limited user intervention, novel agent personality, and multi-theater load balancing.
Modeling, parametric analysis and optimization of an anode-supported planar solid oxide fuel cell

Solid oxide fuel cell is a promising tool for distributed power generation systems. This type of power system will experience different conditions during its operating life. The present study aims to simulate mathematically a direct internal reforming planar type anode supported solid oxide fuel cell considering mass and energy conservation equations along with a complete electrochemical model. Two main reactions, namely water–gas shift reaction and methane steam reforming reaction, are considered as two dominant reactions occurring in a fuel cell. Such a model may be employed to examine the effect of different operating conditions on main solid oxide fuel cell parameters, such as temperature gradients, power, and efficiency. Furthermore, using such mathematical model, a multi-objective optimization procedure can be applied to determine maximum cell efficiency and output power under constraints such as the allowable temperature difference and limited operating potential. The selected design variables are air ratio, fuel utilization, average current density, steam to carbon ratio, and pre-reforming rate of methane. It has been revealed that any increase in pre-reforming rate of methane and steam to carbon ratio of the entering fuel will lead to efficiency penalty and more uniform temperature distribution along the cell. In addition, the more average current density increases, the less electric efficiency is achieved, and on the other hand, the more temperature difference along the cell is seen. Besides, it is shown that some interesting and important relationships as useful optimal design principles involved in the performance of solid oxide fuel cells can be discovered by Pareto based multi-objective optimization of the mathematically obtained model representing their electric performance. Such important optimal principles would not have been obtained without the use of both mathematical modeling and the Pareto optimization approach.
Small-size ε-nets for axis-parallel rectangles and boxes

We show the existence of ε-nets of size O(1/ε log log 1/ε) for planar point sets and axis-parallel rectangular ranges. The same bound holds for points in the plane with "fat" triangular ranges, and for point sets in reals3 and axis-parallel boxes; these are the first known non-trivial bounds for these range spaces. Our technique also yields improved bounds on the size of ε-nets in the more general context considered by Clarkson and Varadarajan. For example, we show the existence of ε-nets of size O(1/ε log log log 1/ε) for the dual range space of "fat" regions and planar point sets (where the regions are the ground objects and the ranges are subsets stabbed by points). Plugging our bounds into the technique of Bronnimann and Goodrich, we obtain improved approximation factors (computable in randomized polynomial time) for the hitting set or the set cover problems associated with the corresponding range spaces.
A Theoretical Framework for End-to-End Video Quality Prediction of MPEG-based Sequences

This paper presents a novel theoretical framework for end-to-end video quality prediction of MPEG-based video sequences. The proposed framework encloses two discrete models: (i) A model for predicting the video quality of an encoded signal at a pre-encoding stage and (ii) A model for mapping QoS-sensitive network parameters (i.e. packet loss) to video quality degradation. The efficiency of both the discrete models is experimentally validated, proving by this way the accuracy of the proposed framework.
Secure Network Coding for Wiretap Networks of Type II

We consider the problem of securing a multicast network against a wiretapper that can eavesdrop on the packets on a limited number of network edges of its choice. We assume that the network employs network coding to simultaneously deliver the packets available at the source to all the destinations. We show that this problem can be looked at as a network generalization of the wiretap channel of type II introduced in a seminal paper by Ozarow and Wyner. In particular, we show that the transmitted information can be secured by using the Ozarow-Wyner approach of coset coding at the source on top of the existing network code. This way, we quickly and transparently recover some of the results available in the literature on secure network coding for wiretap networks. Moreover, we use this framework to derive new bounds on the code alphabet size that are independent of the network size, and provide algorithms for explicit construction of secure network codes. We also analyze the amount of information that can be leaked to the wiretapper as a function of the number of wiretapped edges.
Mining asynchronous periodic patterns in time series data

Periodicy detection in time series data is a challenging problem of great importance in many applications. Most previous work focused on mining synchronous periodic patterns and did not recognize the misaligned presence of a pattern due to the intervention of random noise. In this paper, we propose a more flexible model of asynchronous periodic pattern that may be present only within a subsequence and whose occurrences may be shifted due to disturbance. Two parameters min/spl I.bar/rep and max/spl I.bar/dis are employed to specify the minimum number of repetitions that is required within each segment of nondisrupted pattern occurrences and the maximum allowed disturbance between any two successive valid segments. Upon satisfying these two requirements, the longest valid subsequence of a pattern is returned. A two-phase algorithm is devised to first generate potential periods by distance-based pruning followed by an iterative procedure to derive and validate candidate patterns and locate the longest valid subsequence. We also show that this algorithm cannot only provide linear time complexity with respect to the length of the sequence but also achieve space efficiency.