Miracle-dz/UniFAR-FTUs huggingface dataset:
FUSION FOR STOREFRONT RECOGNITION AND INDOOR NAVIGATION

With the help of a map and GPS, outdoor navigation from one spot to another can be done quickly and well. Unfortunately inside a shopping mall, where GPS signal is hardly available, navigation becomes troublesome. In this paper, we propose an indoor navigation system to address the problem. We propose a DNN-based feature fusion method to help automatically identifying shops in a photo. During navigation, we make use of this method to find out the realtime position of the user. We utilize multiple image processing techniques to parse photos of a mall’s shopping instruction and a construct topological map of the mall. Unlike most existing indoor navigation systems, which relies heavily on infrastructures and pre-labelled maps, our system uses only photos taken by cellphone cameras as input.
Neural Network Joint Language Model : An Investigation and An Extension With Global Source Context

Recent work has shown success in using a neural network joint language model that jointly model target language and its aligned source language to improve machine translation performance. In this project we first investigate a state-of-theart joint language model by studying architectural and parametric factors through experiments and visualizations. We then propose an extension to this model that incorporates global source context information. Experiments show that the best extension setting achieves 1.9% reduction of test set perplexity on a French-English data set. 1
Synthesis and Properties of Cotton Fabrics Modified with Polypyrrole

Hygienic antistatic cotton fabrics have been developed with applications in antistatic carpets, filters and hygienic hospital apparels. Cotton fabrics have been impregnated with conducting polymer, viz:- polypyrrole in various ratios. These fabrics show improved electrical conduction by about 3 - 8 orders of magnitude. Since the electrical conduction required for antistatic applications is only marginal, small amounts of these conducting polymers were found to be sufficient to give good antistatic properties. Also these fabrics were tested for their antimicrobial properties, which were found to be very good. These fabrics have also been demonstrated to be useful as heating pads and carpets.
Optimized Secure Position Sharing with Non-trusted Servers

Today, location-based applications and services such as friend finders and geo-social networks are very popular. However, storing private position information on third-party location servers leads to privacy problems. In our previous work, we proposed a position sharing approach for secure management of positions on non-trusted servers, which distributes position shares of limited precision among servers of several providers. In this paper, we propose two novel contributions to improve the original approach. First, we optimize the placement of shares among servers by taking their trustworthiness into account. Second, we optimize the location update protocols to minimize the number of messages between mobile device and location servers.
On Adjusting the Learning Rate in Frequency Domain Echo Cancellation With Double-Talk

One of the main difficulties in echo cancellation is the fact that the learning rate needs to vary according to conditions such as double-talk and echo path change. In this paper, we propose a new method of varying the learning rate of a frequency-domain echo canceller. This method is based on the derivation of the optimal learning rate of the normalized least mean square (NLMS) algorithm in the presence of noise. The method is evaluated in conjunction with the multidelay block frequency domain (MDF) adaptive filter. We demonstrate that it performs better than current double-talk detection techniques and is simple to implement
Sublethal Doses of an Anti-erbB2 Antibody Leads to Death by Apoptosis in Cardiomyocytes Sensitized by Low Prosenescent Doses of Epirubicin: The Protective Role of Dexrazoxane

The cardiotoxic synergism resulting from the sequential treatment with anthracyclines and trastuzumab has been attributed to the trastuzumab-induced loss of the erbB2-related functions that serve as a salvage pathway against the damaging effects of anthracyclines. Cellular senescence is a novel mechanism of cardiotoxicity induced by subapoptotic doses of anthracyclines. After having identified prosenescent and proapoptotic doses of epirubicin and rat MAb c-erbB2/Her-2/neu Ab-9 clone B10 (B10), an anti-erbB2 monoclonal antibody, we investigated the effects of the sequential treatment with prosenescent doses of both drugs on H9c2 cells and neonatal rat cardiomyocytes pretreated with or without the cardioprotective agent dexrazoxane. Cells were analyzed by senescence-associated β-galactosidase, single-stranded DNA, annexin/propidium double staining, F-actin, and mitochondrial transmembrane potential. ErbB2 expression levels, AKT activation, and the effects of the inhibition of nicotinamide adenine dinucleotide phosphate oxidase [NAD(P)H oxidase] and phosphoinositide-3-OH kinase (PI3K) were also assessed. Data demonstrate that 1) the toxic effects of epirubicin mainly occur through NAD(P)H oxidase activation; 2) the erbB2 overexpression induced by epirubicin is a redox-sensitive mechanism largely dependent on NAD(P)H oxidase; 3) the loss of erbB2-related functions caused by B10 determines marginal cellular changes in untreated cells, but causes massive death by apoptosis in cells previously exposed to a prosenescent dose of epirubicin, 4) dexrazoxane promotes survival pathways, as demonstrated by the activation of Akt and the PI3K-dependent erbB2 overexpression; and 5) it also prevents epirubicin-induced senescence and renders epirubicin-treated cells more resistant to treatment with B10. Data underline the importance of NAD(P)H oxidase in epirubicin-induced cardiotoxicity and shed new light on the protective mechanisms of dexrazoxane.
SMC1-Mediated Intra-S-Phase Arrest Facilitates Bocavirus DNA Replication

ABSTRACT Activation of a host DNA damage response (DDR) is essential for DNA replication of minute virus of canines (MVC), a member of the genus Bocavirus of the Parvoviridae family; however, the mechanism by which DDR contributes to viral DNA replication is unknown. In the current study, we demonstrate that MVC infection triggers the intra-S-phase arrest to slow down host cellular DNA replication and to recruit cellular DNA replication factors for viral DNA replication. The intra-S-phase arrest is regulated by ATM (ataxia telangiectasia-mutated kinase) signaling in a p53-independent manner. Moreover, we demonstrate that SMC1 (structural maintenance of chromosomes 1) is the key regulator of the intra-S-phase arrest induced during infection. Either knockdown of SMC1 or complementation with a dominant negative SMC1 mutant blocks both the intra-S-phase arrest and viral DNA replication. Finally, we show that the intra-S-phase arrest induced during MVC infection was caused neither by damaged host cellular DNA nor by viral proteins but by replicating viral genomes physically associated with the DNA damage sensor, the Mre11-Rad50-Nbs1 (MRN) complex. In conclusion, the feedback loop between MVC DNA replication and the intra-S-phase arrest is mediated by ATM-SMC1 signaling and plays a critical role in MVC DNA replication. Thus, our findings unravel the mechanism underlying DDR signaling-facilitated MVC DNA replication and demonstrate a novel strategy of DNA virus-host interaction.
Mobilization of Heavy Metals in Contaminated Soils induced by Bioaugmentation of Shewanella xiamenensis HM14

A bacterial strain with the potential ability to solubilize heavy metals was isolated from heavy metal contaminated soils collected from abandoned mines of Boryeong area in South Korea. The bacterial strain with the highest degree of metal resistance was shown to have close proximity with Shewanella xiamenensis FJ589031, according to 16S rRNA sequence analysis, and selected for investigating the mobilization of metals in soil or plant by the strain. The strain was found to be capable of solubilizing metals both in the absence and in the presence of metals (Co, Pb and Cd). Metal mobilization potential of the strain was assessed in a batch experiment and the results showed that inoculation could increase the concentrations of water soluble Co, Pb and Cd by 48, 34 and 20% respectively, compared with those of non-inoculated soils. Bacterial-assisted growth promotion and metal uptake in sunflower (Helianthus annuus) was evaluated in a pot experiment. In comparison with non-inoculated seedlings, the inoculation led to increase the growth of H. annuus by 24, 18 and 16% respectively in Co, Pb and Cd contaminated soils. Moreover, enhanced accumulation of Co, Pb and Cd in the shoot and root systems was observed in inoculated plants, where metal translocation from root to the above-ground tissues was also found to be enhanced by the strain. Plant growth promotion and metal mobilizing potential of the strain suggest that the strain could effectively be employed in enhancing phytoextraction of Co, Pb and Cd from contaminated soils.
Laser-Driven Micro Transfer Placement of Prefabricated Microstructures

Microassembly of prefabricated structures and devices is emerging as key process technology for realizing heterogeneous integration and high-performance flexible and stretchable electronics. Here, we report on a laser-driven micro transfer placement process that exploits, instead of ablation, the mismatch in thermomechanical response at the interface of a transferable microstructure and a transfer tool to a laser pulse to drive the release of the microstructure from the transfer tool and its travel to a receiving substrate. The resulting facile pick-and-place process is demonstrated with the assembling of 3-D microstructures and the placement of GaN light-emitting diodes onto silicon and glass substrates. High-speed photography is used to provide experimental evidence of thermomechanically driven release. Experiments are used to measure the laser flux incident on the interface. These, when used in numerical and analytical models, suggest that temperatures reached during the process are enough to produce strain energy release rates to drive delamination of the microstructure from the transfer tool.
A Registration-Based Propagation Framework for Automatic Whole Heart Segmentation of Cardiac MRI

Magnetic resonance (MR) imaging has become a routine modality for the determination of patient cardiac morphology. The extraction of this information can be important for the development of new clinical applications as well as the planning and guidance of cardiac interventional procedures. To avoid inter- and intra-observer variability of manual delineation, it is highly desirable to develop an automatic technique for whole heart segmentation of cardiac magnetic resonance images. However, automating this process is complicated by the limited quality of acquired images and large shape variation of the heart between subjects. In this paper, we propose a fully automatic whole heart segmentation framework based on two new image registration algorithms: the locally affine registration method (LARM) and the free-form deformations with adaptive control point status (ACPS FFDs). LARM provides the correspondence of anatomical substructures such as the four chambers and great vessels of the heart, while the registration using ACPS FFDs refines the local details using a constrained optimization scheme. We validated our proposed segmentation framework on 37 cardiac MR volumes on the end-diastolic phase, displaying a wide diversity of morphology and pathology, and achieved a mean accuracy of 2.14 ± 0.63 mm (rms surface distance) and a maximal error of 4.31 mm.
Full predicate coverage for testing SQL database queries

In the field of database applications a considerable part of the business logic is implemented using a semi‐declarative language: the Structured Query Language (SQL). Because of the different semantics of SQL compared with other procedural languages, the conventional coverage criteria for testing are not directly applicable. This paper presents a criterion specifically tailored for SQL queries (SQLFpc). It is based on Masking Modified Condition Decision Coverage (MCDC) or Full Predicate Coverage and takes into account a wide range of the syntax and semantics of SQL, including selection, joining, grouping, aggregations, subqueries, case expressions and null values. The criterion assesses the coverage of the test data in relation to the query that is executed and it is expressed as a set of rules that are automatically generated and efficiently evaluated against a test database. The use of the criterion is illustrated in a case study, which includes complex queries. Copyright © 2010 John Wiley & Sons, Ltd.
Differential gene expression detection using penalized linear regression models: the improved SAM statistics

UNLABELLED Differential gene expression detection using microarrays has received lots of research interests recently. Many methods have been proposed, including variants of F-statistics, non-parametric approaches and empirical Bayesian methods etc. The SAM statistics has been shown to have good performance in empirical studies. SAM is more like an ad hoc shrinkage method. The idea is that for small sample microarray data, it is often useful to pool information across genes to improve efficiency. Under Bayesian framework Smyth formally derived the test statistics with shrinkage using the hierarchical models. In this paper we cast differential gene expression detection in the familiar framework of linear regression model. Commonly used test statistics correspond to using least squares to estimate the regression parameters. Based on the vast literature of research on linear models, we can naturally consider other alternatives. Here we explore the penalized linear regression. We propose the penalized t-/F-statistics for two-class microarray data based on [Formula: see text] penalty. We will show that the penalized test statistics intuitively makes sense and through applications we illustrate its good performance. AVAILABILITY Supplementary information including program codes, more detailed analysis results and R functions for the proposed methods can be found at http://www.biostat.umn.edu/~baolin/research CONTACT baolin@biostat.umn.edu SUPPLEMENTARY INFORMATION http://www.biostat.umn.edu/~baolin/research.
Deriving the Worst-Case Execution Time Input Values

Worst-Case Execution Time (WCET) analysis derives upper bounds for execution times of programs. Such bounds are crucial when designing and verifying real-time systems. A major problem with today’s WCET analysis approaches is that there is no feedback on the particular values of the input variables that cause the program’s WCET. However, this is important information for the real-time system developer.We present a novel approach to overcome this problem. In particular, we present a method, based on a combination of input sensitive static WCET analysis and systematic search over the value space of the input variables, to derive the input value combination that causes the WCET. We also present several different approaches to speed up the search. Our evaluations show that the WCET input values can be relatively quickly derived for many type of programs, even for program with large input value spaces. We also show that the WCET estimates derived using the WCET input values often are much tighter than the WCET estimates derived when all possible input value combinations are taken into account.
Uncertainty , Possible Worlds and Coupled Dynamical Recognizers

We propose a new way of studying social dilemmas and the epistemic structures of agents. Here we study the iterated prisoner's dilemma game as played by cognitive players, where each player optimizes his or her own future actions by making an internal model of the opponent's behavior. A kind of recurrent neural network called a dynamical recognizer(DR) is used to make these internal models. The internal model of each player's behavior is constructed from a nite history. That is, many internal models are equally accurate in mimicking the opponent's behavior. If the optimized future action varies depending on which of the models is chosen, we construct branches in the world line to represent several possible future worlds. Depending on the game situation (e.g. the payo structures, the length of past sequences to be considered, the uncertainty level in choosing models, etc.), the structures of the branching of world lines (i.e., of possible worlds) will vary. In some situations, the world line is surrounded by many possible worlds, each with di erent behaviors. In particular, we focus on how players can attain mutual cooperation in some of the world lines.
Mitochondrial Regulation of Synaptic Plasticity in the Hippocampus*

Synaptic mechanisms of plasticity are calcium-dependent processes that are affected by dysfunction of mitochondrial calcium buffering. Recently, we observed that mice deficient in mitochondrial voltage-dependent anion channels, the outer component of the mitochondrial permeability transition pore, have impairments in learning and hippocampal synaptic plasticity, suggesting that the mitochondrial permeability transition pore is involved in hippocampal synaptic plasticity. In this study, we examined the effect on synaptic transmission and plasticity of blocking the permeability transition pore with low doses of cyclosporin A and found a deficit in synaptic plasticity and an increase in base-line synaptic transmission. Calcium imaging of presynaptic terminals revealed a transient increase in the resting calcium concentration immediately upon incubation with cyclosporin A that correlated with the changes in synaptic transmission and plasticity. The effect of cyclosporin A on presynaptic calcium was abolished when mitochondria were depolarized prior to cyclosporin A exposure, and the effects of cyclosporin A and mitochondrial depolarization on presynaptic resting calcium were similar, suggesting a mitochondrial locus of action of cyclosporin A. To further characterize the calcium dynamics of the mitochondrial permeability transition pore, we used anin vitro assay of calcium handling by isolated brain mitochondria. Cyclosporin A-exposed mitochondria buffered calcium more rapidly and subsequently triggered a more rapid mitochondrial depolarization. Similarly, mitochondria lacking the voltage-dependent anion channel 1 isoform depolarized more readily than littermate controls. The data suggest a role for the mitochondrial permeability transition pore and voltage-dependent anion channels in mitochondrial synaptic calcium buffering and in hippocampal synaptic plasticity.
Highly linear wide-band differential LNA using active feedback as post distortion

The paper describes the design of a differential broadband LNA covering the frequency range from 800 MHz to 5 GHz in 65nm CMOS technology. The work proposes a novel linearization technique for high-frequency wide-band applications using an active feedback as post-distortion. The technique is applied to a wide-band differential common gate (CG) LNA employing noise cancellation method. Post-layout simulations exhibit that the proposed technique increases IIP3 and P1dB considerably to +11.9 and +1 dBm, respectively at 1.8 GHz. The LNA achieves voltage gain of 13.7-13.9 dB, noise figure of 3-3.28 dB, and S11 less than -10 dB, while consuming only 16.5 mW. The layout schematic occupies 0.515 × 0.220 mm2 of chip area.
Uniaxial Elongational Flow Behaviour of SBS Block Copolymer Melts Treated at High Temperature ~The Correlation of Crosslinking and Strain-Hardening~

Elongational flow behaviour of elastomers such as SBS (styrenebutadiene-styrene) block copolymer is very interesting since they show strain-softening under uniaxial elongational flow.1), 2) However, the materials which show strain-softening or no strain-hardening have disadvantage, considering blow molding and foaming in which elongational flow dominate.3) Now these processes have been recognized as attractive method, thus it has been desired to control the elongational flow property, especially at large strain. Until now, studies of elongational flow behaviour of elastomer itself was limited at low temperature which phase transition and/or crosslinking does not occur.1), 2) SBS has double bonds of carbon in polybutadiene (PB), which has the possibility of making crosslinking at high temperature, enabling us to change elongational flow property especially at large strain. Thus, this study should be interesting from both scientific and practical points of view. On the basis of above these, we found interesting rheological features of SBS treated at high temperature, which made us possible to control elongational flow behaviour between strain-softening to strain-hardening. The origin of nonlinear property was analyzed by FT-IR spectroscopy.
A new TDD scheme and interference-aware precoding for device-to-device underlay massive MIMO

In device-to-device (D2D) underlay cellular networks with downlink spectrum sharing, massive MIMO seems promising as the large number of antennas at the base station (BS) can be utilized to suppress interference. However, the channel state information (CSI) from the BS to D2D receivers is required to obtain this advantage. In this paper, we first propose a novel time division duplex (TDD) scheme for D2D users to acquire this CSI, without additional pilot overhead. Moreover, we propose an interference-aware MMSE precoder utilizing the acquired CSI from the BS to not only cellular users but also D2D users to suppress the cellular-to-D2D interference. Simulation results show that our proposed TDD scheme and precoder can significantly improve the achievable sum spectral efficiency (SE) and D2D SE, compared to the classical MMSE precoder. Compared with the interference-aware ZF precoder, whose performance severely degrades for large user numbers, our proposed interference-aware MMSE precoder can always guarantees a high and stable performance in terms of achievable SE.
Impact of stochastic fluctuations in the cell free layer on nitric oxide bioavailability

A plasma stratum (cell free layer or CFL) generated by flowing blood interposed between the red blood cell (RBC) core and the endothelium affects generation, consumption, and transport of nitric oxide (NO) in the microcirculation. CFL width is a principal factor modulating NO diffusion and vessel wall shears stress development, thus significantly affecting NO bioavailability. Since the CFL is bounded by the surface formed by the chaotically moving RBCs and the stationary but spatially non-uniform endothelial surface, its width fluctuates randomly in time and space. We analyze how these stochastic fluctuations affect NO transport in the CFL and NO bioavailability. We show that effects due to random boundaries do not average to zero and lead to an increase of NO bioavailability. Since endothelial production of NO is significantly enhanced by temporal variability of wall shear stress, we posit that stochastic shear stress stimulation of the endothelium yields the baseline continual production of NO by the endothelium. The proposed stochastic formulation captures the natural continuous and microscopic variability, whose amplitude is measurable and is of the scale of cellular dimensions. It provides a realistic model of NO generation and regulation.
Query Strategies for Priced Information

2 Current affiliation: Department of Computer Science, Princeton University, Princeton, NJ 08544. Most of this work was done while the author was at Stanford University and was visiting IBM Almaden Research Center. Research at Stanford was supported by the Pierre and Christine Lamond Fellowship, NSF Grant IIS-9811904, and NSF Award CCR-9357849, with matching funds from IBM, Mitsubishi, Schlumberger Foundation, Shell Foundation, and Xerox Corporation. Department of Computer Science, Stanford University, Stanford, California 94305 E-mail: moses@cs.princeton. edu