Miracle-dz/UniFAR-FTUs huggingface dataset:
Mobile Device Based Outdoor Navigation with On-Line Learning Neural Network: A Comparison with Convolutional Neural Network

Outdoor navigation is challenging with its dynamic environments and huge appearance variances. Traditional autonomous navigation systems construct 3D driving scenes to recognize open and occupied voxels by using laser range scanners, which are not available on mobile devices. Existing image-based navigationmethods, on the other hand, are costly in computation and thus cannot be deployed onto a mobile device. To overcome these difficulties, we present an on-line learning neural network for real-time outdoor navigation using only the computational resources available on a standard android mobile device (i.e. camera, GPS, and no cloud back-end). The network is trained to recognize the most relevant object in current navigation setting and make corresponding decisions (i.e. adjust direction, avoid obstacles, and follow GPS). The network is compared with state of the art image classifier, the Convolutional Neural Network, in various aspects (i.e. network size, number of updates, convergence speed and final performance). Comparisons show that our network requires a minimal number of updates and converges significantly faster to better performance. The network successfully navigated in regular long-duration testing in novel settings and blindfolded testing under sunny and cloudy weather conditions.
cDNA cloning and genomic structure of a novel gene (C11orf9) localized to chromosome 11q12→q13.1 which encodes a highly conserved, potential membrane-associated protein

We have cloned and characterized a novel gene (C11orf9) mapping to chromosome 11q12→q13.1. The transcript was initially identified as a partial cDNA sequence in the course of constructing a transcript map of the region between markers D11S1765 and uteroglobin known to encompass the gene causing Best disease. Using a combination of EST mapping, computational exon prediction, RT-PCR, and 5′-RACE its 5.7-kb full-length cDNA sequence was subsequently obtained. The C11orf9 gene consists of 26 exons spanning 33.1 kb of genomic DNA and is located about 4.3 kb centromeric to FEN1. Biocomputational analysis predicts that its conceptualtranslation product of 1,111 amino acids contains two transmembrane helices as well as two proline-rich regions. Alignment reveals significant homology to hypothetical peptides from several other species including C. elegans and D. melanogaster, indicating a high degree of conservation throughout evolution. Northern Blot and RT-PCR analyses demonstrate widespread expression of a single transcript but varying degrees of abundance among the individual tissues tested. Mutation analysis of the entire coding sequence excluded C11orf9 as the Best disease gene.
On the correctness of transactional memory

Transactional memory (TM) is perceived as an appealing alternative to critical sections for general purpose concurrent programming. Despite the large amount of recent work on TM implementations, however, very little effort has been devoted to precisely defining what guarantees these implementations should provide. A formal description of such guarantees is necessary in order to check the correctness of TM systems, as well as to establish TM optimality results and inherent trade-offs. This paper presents opacity, a candidate correctness criterion for TM implementations. We define opacity as a property of concurrent transaction histories and give its graph theoretical interpretation. Opacity captures precisely the correctness requirements that have been intuitively described by many TM designers. Most TM systems we know of do ensure opacity. At a very first approximation, opacity can be viewed as an extension of the classical database serializability property with the additional requirement that even non-committed transactions are prevented from accessing inconsistent states. Capturing this requirement precisely, in the context of general objects, and without precluding pragmatic strategies that are often used by modern TM implementations, such as versioning, invisible reads, lazy updates, and open nesting, is not trivial. As a use case of opacity, we prove the first lower bound on the complexity of TM implementations. Basically, we show that every single-version TM system that uses invisible reads and does not abort non-conflicting transactions requires, in the worst case, ? (k) steps for an operation to terminate, where k is the total number of objects shared by transactions. This (tight) bound precisely captures an inherent trade-off in the design of TM systems. The bound also highlights a fundamental gap between systems in which transactions can be fully isolated from the outside environment, e.g., databases or certain specialized transactional languages, and systems that lack such isolation capabilities, e.g., general TM frameworks.
Security analysis of integrated circuit camouflaging

Camouflaging is a layout-level technique that hampers an attacker from reverse engineering by introducing, in one embodiment, dummy contacts into the layout. By using a mix of real and dummy contacts, one can camouflage a standard cell whose functionality can be one of many. If an attacker cannot resolve the functionality of a camouflaged gate, he/she will extract an incorrect netlist. In this paper, we analyze the feasibility of identifying the functionality of camouflaged gates. We also propose techniques to make the dummy contact-based IC camouflaging technique resilient to reverse engineering. Furthermore, we judiciously select gates to camouflage by using techniques which ensure that the outputs of the extracted netlist are controllably corrupted. The techniques leverage IC testing principles such as justification and sensitization. The proposed techniques are evaluated using ISCAS benchmark circuits and OpenSparc T1 microprocessor controllers.
Effect of Interface States on the Performance of Antimonide nMOSFETs

Antimonide (Sb) quantum-well MOSFETs are demonstrated with an integrated high- κ dielectric (1-nm Al<sub>2</sub>O<sub>3</sub> /10-nm HfO<sub>2</sub>). The effect of interface trap density <i>D</i><sub>it</sub> on the dc drive current and transconductance <i>gm</i> is studied in detail using split <i>C</i>-<i>V</i>/<i>G</i> -<i>V</i>, pulsed <i>I</i> -<i>V</i>, and radio-frequency measurements. Pulsed <i>I</i>-<i>V</i> measurements show improved on current, transconductance, and subthreshold slope due to reduced charge trapping in the dielectric at high frequencies. The long-channel Sb nMOSFET exhibits effective electron mobility of 6000 cm<sup>2</sup>/V·s at high field (2 × 10<sup>12</sup>/cm<sup>2</sup> of charge density <i>Ns</i>), which is 15× higher than Si NMOS inversion layer mobility, and one of the highest values reported for III-V MOSFETs. The short-channel Sb nMOSFET (<i>LG</i> = 150 nm) exhibits a cutoff frequency <i>fT</i> of 120 GHz, an <i>fT</i> × <i>LG</i> product of 18 GHz·μm , and a source-side injection velocity <i>v</i><sub>eff</sub> of 2.7 × 10<sup>7</sup> cm/s at a drain bias <i>V</i><sub>DS</sub> of 0.75 V and a gate overdrive of 0.6 V.
Data Mining: A Competitive Weapon for Banking and Retail Industries

Abstract Data mining is proving to be a valuable tool, by identifying potentially useful information from the large amounts of data collected, and enabling an organization to gain an advantage over its competitors. This article defines what data mining is and covers the operations of data mining as have been classified throughout literature. It then focuses on the important uses of data mining, which include but are not limited to marketing, risk management, fraud detection, and customer acquisition and retention. Examples of how the banking and retail industries have been effectively utilizing data mining in these areas are provided.
Advanced Iron-Loss Estimation for Nonlinear Material Behavior

The aim of an optimal design of electrical machines requires the accurate prediction of iron losses for various operating points. For this purpose different iron-loss models have been proposed which intent to describe the loss inducing effects. The most used iron-loss prediction formulas are either physically based, but nevertheless only valid for linear material behavior at low frequencies and low magnetic flux densities, or grounded on a pure mathematical description of the material behavior, that is not more than interpolated measurements. This paper presents a modified loss equation with semi-physically based parameters as well as a first try to explain the nonlinear loss component.
Automated analysis of feature models: challenges ahead

Current tool support for feature models is ad hoc, offering little or no support for debugging feature models or optimizing feature selections. Recent work shows how feature models can be reduced to propositional formulas or to constraint satisfaction problems, for which off-the-shelf tools can validate properties of models (e.g., confirming that a given set of features are incompatible or compatible) or to optimize the selection of features (e.g., performance) [1][2][4]. This opens up new possibilities for next-generation tools for specifying products in software product lines.
Title named entity recognition using wikipedia and abbreviation generation

In this paper, we propose a title named entity recognition model using Wikipedia and abbreviation generation. The proposed title named entity recognition model automatically extracts title named entities from Wikipedia so constant renewal is possible without additional costs. Also, in order to establish a dictionary of title named entity abbreviations, generation rules are used to generate abbreviation candidates and abbreviations are selected through web search methods. In this paper, we propose a statistical model that recognizes title named entities using CRFs (Conditional Random Fields). The proposed model uses lexical information, a named entity dictionary, and an abbreviation dictionary, and provides title named entity recognition performance of 82.1% according to experimental results.
Tangible bots: interaction with active tangibles in tabletop interfaces

We present interaction techniques for tangible tabletop interfaces that use active, motorized tangibles, what we call Tangible Bots. Tangible Bots can reflect changes in the digital model and assist users by haptic feedback, by correcting errors, by multi-touch control, and by allowing efficient interaction with multiple tangibles. A first study shows that Tangible Bots are usable for fine-grained manipulation (e.g., rotating tangibles to a particular orientation); for coarse movements, Tangible Bots become useful only when several tangibles are controlled simultaneously. Participants prefer Tangible Bots and find them less taxing than passive, non-motorized tangibles. A second study focuses on usefulness by studying how electronic musicians use Tangible Bots to create music with a tangible tabletop application. We conclude by discussing the further potential of active tangibles, and their relative benefits over passive tangibles and multi-touch.
Mycobacterium celeriflavum sp. nov., a rapidly growing scotochromogenic bacterium isolated from clinical specimens.

Six strains of a rapidly growing scotochromogenic mycobacterium were isolated from pulmonary specimens of independent patients. Biochemical and cultural tests were not suitable for their identification. The mycolic acid pattern analysed by HPLC was different from that of any other mycobacterium. Genotypic characterization, targeting seven housekeeping genes, revealed the presence of microheterogeneity in all of them. Different species were more closely related to the test strains in various regions: the type strain of Mycobacterium moriokaense showed 99.0 % 16S rRNA gene sequence similarity, and 91.5-96.5 % similarity for the remaining six regions. The whole genome sequences of the proposed type strain and that of M. moriokaense presented an average nucleotide identity (ANI) of 82.9 %. Phylogenetic analysis produced poorly robust trees in most genes with the exception of rpoB and sodA where Mycobacterium flavescens and Mycobacterium novocastrense were the closest species. This phylogenetic relatedness was confirmed by the tree inferred from five concatenated genes, which was very robust. The polyphasic characterization of the test strains, supported by the ANI value, demonstrates that they belong to a previously unreported species, for which the name Mycobacterium celeriflavum sp. nov. is proposed. The type strain is AFPC-000207(T) ( = DSM 46765(T) = JCM 18439(T)).
Damage characterization and residual properties of a shock-loaded S-2 glass/epoxy laminate

Gas gun planar impact and post-impact three-point-bend test data are presented for (90/sub 4/,(+24,-24)/sub 2/,90/sub 3/(-24,+24)/sub 2/90/sub 4/) S-2 glass/epoxy laminates. Laminates with 2 different densities (Porosities) were tested. The impact tests, which utilized standard gas gun spall test techniques, were designed to generate tensile wave damage in a plane parallel to the laminate surface and midway through its thickness. Polished sections taken from impacted high porosity samples indicate that incipient shock damage is generated at a stress level of between 1 and 2 kbar for a nominal 1 . mu.s stress pulse. The incipient stress wavedamage consists of matrix cracking in the center 90/sup 0/ layer. Limited test data did not permit establishment of a damage threshold for the low porosity laminate. Large separations, extending over the sample's entire diameter, were generated in samples of both porosity when the impact stress level was greater than or equal to 3 kbar. These samples were not, however, cleaved in two; fiber bridging prevented complete detachment. Post-impact three-point-bend test data indicate that once a threshold impact stress level for damage is exceeded, both specimen stiffness and load carrying capacity decrease substantially as the impact stress level increases. For example, specimen stiffness and loadmore » carrying capacity of the low porosity composite were reduced by 75% and 50%, respectively, after impact at a 6.35 kbar stress level. « less
An Event-Based Architecture Definition Language

This paper discusses general requirements for architecture definition languages, and describes the syntax and semantics of the subset of the Rapide language that is designed to satisfy these requirements. Rapide is a concurrent event-based simulation language for defining and simulating the behavior of system architectures. Rapide is intended for modelling the architectures of concurrent and distributed systems, both hardware and software in order to represent the behavior of distributed systems in as much detail as possible. Rapide is designed to make the greatest possible use of event-based modelling by producing causal event simulations. When a Rapide model is executed it produces a simulation that shows not only the events that make up the model's behavior, and their timestamps, but also which events caused other events, and which events happened independently. The architecture definition features of Rapide are described: event patterns, interfaces, architectures and event pattern mappings. The use of these features to build causal event models of both static and dynamic architectures is illustrated by a series of simple examples from both software and hardware. Also we give a detailed example of the use of event pattern mappings to define the relationship between two architectures at different levels of abstraction. Finally, we discuss briefly how Rapide is related to other event-based languages. >
The Application of Starch - Sodium Alginate Composite Coating on Transparent Paper for Food Packaging

Fluorocarbons were added into the mixture of modified starch and sodium alginate to get uniform coating solution, and the solution was then coated on the surface of transparent paper. The color as well as grease barrier property of paper at different coating weight were studied. The results showed that color under different coating weights were not significantly different from base paper. The scanning electron microscopy (SEM) diagram showed the surface of paper became smoother and more homogeneous as the coating weight increased. The grease barrier property of coated papers were significantly improved compared with base paper according to Tappi-559 kit test. A highest grease rating number of 12 was obtained when the coating weight became 3.3 g/m2. The dynamic changes in contact angle studies revealed that the contact angle of the base paper was continuously decreased from 29.41 °minutes to 23.46 °within 20, the contact angles of coated papers were significantly increased, and reaching a steady state within 2min with the maximum rate of contact angle change was of merely 0.06 ° / min.
Functionalized upconversion nanoparticles for cancer imaging and therapy

Near infrared (NIR) light administrated fluorescence imaging and photodynamic therapy (PDT) have shown great promising in cancer diagnosis and treatment. Especially with the recent development of the rare earth ions doped upconversion nanoparticles (UCNPs), much attentions have been attracted in this field. Despite the many efforts of surface modification and functionalization done in utilizing UCNPs for biomedical applications, target labeling and/or PDT treatment of cancer cells at an early stage are still the major challenges. In this thesis we are focused on developing new strategies to construct multifunctional nanoplatforms for simultaneously cancer imaging and photodynamic therapy. The cellular uptake and cytotoxicity are systematically researched on UCNPs with different surface coatings. Target molecules like folic acids (FA) or monoclonal antibodies (mAb) are covalently functionalized onto the UCNPs so as to improving their target labeling properties in cancer cells, and both in vitro cultured cancer cells and in vivo tumor spheroids bearing chick chorioallantoic membrane (CAM) model have verified this. In order to improve upconversion luminescence intensities and singlet oxygen production, core-shell structured NaYF4:Yb,Er@NaYF4 nanoparticles are synthesized and functionalized with photosensitizers (PS) Rose Bengal, which turns out a trade-off relationship between upconversion luminescence and energy transfer efficiency. A multispectra imaging method is also put forward to accurately asserting tissue imaging depth based on the relative intensity changes of the two upconversion luminescence bands of NaYF4:Yb,Er UCNPs, which might expand the tradition 2-dimensional planar fluorescence imaging into 3-dimensional.
A novel Interpolation technique to address the Edge-Reliability Problem

In this paper we deal with the Edge-Reliability Problem: given a connected simple graph G = (V, E) with perfect nodes and links failing independently with equal probability 1-p, find the probability RG(p) that the network remains connected. The edge reliability RG(p) is a polynomial in p with degree m = |E|, and the exact computation of RG(p) is in the class of NP-Hard problems. However, the related literature is vast, and offers bounds and estimation techniques, as well as exponential algorithms to exactly find that polynomial. We propose a novel interpolation-based technique that exploits the structure of the Hilbert space L2[0; 1], and combines the efficiency of Newton interpolation with the simplicity of Monte Carlo reliability estimation in selected abscissas in [0; 1]. The aim is to guide the polynomial search respecting algebraic properties of the target polynomial coefficients. We illustrate the effectiveness of the algorithm in the lights of a naive graph with limited size, and discuss several hints for future work.
Mathematical Analysis of Some Models for Drug Delivery

This thesis is concerned with the mathematical modelling of controlled drug release from a number of delivery systems. There are two major strands to the work: (i) modelling release from affinity-based systems, and, (ii) modelling release from thermoresponsive films. A model that is related to the affinity models is also considered, and used to evaluate the effect of reversible binding on drug release in vivo. In Chapter 1, the topic is introduced by briefly discussing some commonly used drug delivery systems and the mathematical models that have been developed to describe them. In Chapters 2 and 3, two affinity-based delivery systems composed of modified fibrin matrices are analysed. The model equations are reduced, and the non-dimensional parameters governing the release rate identified. For both models, a parameter regime that minimises the passive leakage of growth factor from the system is found. In Chapter 4, a reactiondiffusion model for drug redistribution in tissue is considered, and some generic problems to evaluate drug penetration and persistence in tissue are analysed. In Chapter 5, a model for pulsatile drug release from the thermoresponsive polymer poly(N-isopropylacrylamide) is developed. Theoretical pulsatile release profiles are compared with experimental profiles generated by colleagues working at the National Centre for Biomedical and Engineering Sciences, and the correspondence between theory and experiment is found to be good. In Chapter 6, a mathematical model is developed to evaluate the feasibility of an in vivo implanted drug delivery system based on a thermoresponsive polymer and a cooling device, and it is found that the system may be realised for realistic parameter values and materials. Finally, in Chapter 7, an evaluation of the modelling work of the thesis is presented, and strengths and weaknesses of some of the models are identified.
Heart rate-perceived exertion relationship during training and taper.

BACKGROUND Examine the heart rate-perceived exertion (HR-RPE) relationship under conditions of high-intensity training and taper. METHODS Experimental design and participants: prospective with collegiate cyclists (n=11) completed six weeks of high-intensity interval training, followed by a one-week taper. INTERVENTIONS participants completed a high-intensity training regimen along with graded exercise tests (GXT) throughout the training and the taper. MEASURES heart rates (HR) and ratings of perceived exertion (RPE) were recorded following each stage of the GXTs. Scores on GXTs were also recorded. RESULTS . The HR-RPE relationship during GXTs changed over the course of the training with greater RPEs for a given HR at the end of the training compared to the beginning. The most powerful predictors of the performance response to the taper were training induced changes in the HR-RPE relationship and decreases in HR for a given power output. Those individuals who reported higher RPEs for lower HRs were more likely to have better performance responses to taper (r=0.72) as were those who had larger changes in the HR-power output relationship (r=0.76). CONCLUSIONS These results indicate that changes in the HR-RPE relationship during high-intensity training may be used to monitor the magnitude of overreaching that is necessary for a positive response to a taper. For coaches and athletes, the HR-RPE ratio may be a practical measure for monitoring an aspect of fatigue associated with high-intensity training.