Miracle-dz/UniFAR-FTUs huggingface dataset:
User-defined hot topic detection in microblogging

With the rapid popularity of microblogging, an important information communication and spreading channel, hot topic detection in it increasingly attracts researchers' interests. Currently, their interests mostly focus on global event. However, because user-defined topics, denoted by local events, are closer, more useful and helpful to personal life, they should be paid more attention to from a practical point of view. In this paper, we propose a unified framework to detect user-defined hot topics from microblogging posts, which includes user-defined keywords expansion, relevant microblogging filter and hot topic detection. We also propose an effective algorithm for user-defined keywords expansion by fusing importance, relevance and penalty factors. The experimental results indicate the effectiveness of our framework and algorithms.
Configuration Management and Version Control Revisited

ed Context Figure 5.4. How to describe a configuration. This way of adding and shadowing/redefining relations resembles very much the way scope rules work for identifiers in nested blocks in programming languages. In fact, for context one we could consider layer C to be nested in layer B which is again nested in layer A. For instance, for procedure Pn from figure 5.3, context one will consist of the layer A nodes for definition and declarations, the layer B node for comments and the layer C node for implementations. When a configuration is installed (or generated) it is always done relatively to a context, which resolves the layer hierarchy. There are two types of contexts: abstracted and concatenated. The abstracted contexts are direct descriptions of the dominance hierarchy, while the concatenated contexts are formed from putting together subcontexts. The difference is that in figure 5.4 the abstracted context gives the dominance hierarchy ABCDE (from least to most dominant), while the concatenated context gives ABCADE. Thus the second occurrence of the layer A shadows for changes made to this layer in layers B and C. However, if the subcontexts are independent this will not cause problems. PIE also supplies an interface for comparing layers and contexts, thereby making it easy to merge two layers into one. The interface highlights the difference between two layers, and the user can then choose the (node, attribute, value) triples that he wishes and copy them into a merge layer. When this layer is added to the context, it can dominate the old layers. Thus merging of layers (versions) is considered an operation that has to be performed explicitly and separately from the version control.
Investigating 3D model and part information for improving content-based and attribute-based object retrieval

Content-based and attribute-based image/object retrieval are the key techniques for managing and analyzing the exponentially growing media collections. However, due to large variations in viewing angle/position, illumination, occlusion, and background, traditional object retrieval is extremely challenging. This article discusses an ongoing research in investigating the value of 3D models and informative parts for the object retrieval system. To show the feasibility of the proposed method, we apply it to the problem of multi-view vehicle retrieval. Preliminary results on vehicle retrieval demonstrate that our approach significantly outperforms the prior content-based image retrieval (CBIR) methods. Motivated by the proposed method, we are now extending the framework to attribute-based retrieval system over other domains (e.g., people) with 3D information augmented by Kinect devices.
Using 3D string-inspired gravity to understand the Thurston conjecture

We present a string-inspired three-dimensional (3D) Euclidean field theory as the starting point for a modified Ricci flow analysis of the Thurston conjecture. In addition to the metric, the theory contains a dilaton, an antisymmetric tensor field and a Maxwell–Chern–Simons field. For constant dilaton, the theory appears to obey a Birkhoff theorem which allows only nine possible classes of solutions, depending on the signs of the parameters in the action. Eight of these correspond to the eight Thurston geometries, while the ninth describes the metric of a squashed 3-sphere. It therefore appears that one can construct modified Ricci flow equations in which the topology of the geometry is encoded in the parameters of an underlying field theory.
The role of MyoD1 and histone modifications in the activation of muscle enhancers

MyoD1 is a key regulator that orchestrates skeletal muscle differentiation through the regulation of gene expression. Although many studies have focused on its role in transcriptional control at gene promoters, less is known regarding the role of MyoD1 in the assembly of active enhancers. Here, we discuss novel data that point to the ability of MyoD1 to mediate the assembly of active enhancers that augment the transcription of genes essential for muscle development and lineage specification. Based on genome-wide studies of epigenetic marks that typify active enhancers, we recently identified the compendium of distal regulatory elements that dictate transcriptional programs during myogenesis. Superimposition of MyoD1 binding sites upon the locations of muscle enhancers revealed its unequivocal binding to a core region of nearly a third of condition-specific muscle enhancers. Further studies exploring deposition of enhancer-related epigenetic marks in myoblasts lacking MyoD1 demonstrate the dependence of muscle enhancer assembly on the presence of MyoD1. We propose a model wherein MyoD1 mediates recruitment of Set7, H3K4me1, H3K27ac, p300, and RNAP II to MyoD1-bound enhancers to establish condition-specific activation of muscle genes. Moreover, muscle enhancers are modulated through coordinated binding of transcription factors, including c-Jun, Jdp2, Meis, and Runx1, which are recruited to muscle enhancers in a MyoD1-dependent manner. Thus, MyoD1 and enhancer-associated transcription factors function coordinately to assemble and regulate enhancers, thereby augmenting expression of muscle-related genes.
A particle system for implicit surfaces reconstruction

This paper presents a particle system which displays implicit surfaces. First, we find a particle as a seed. Initialize all particle positions through the moving and updating of the seed particle. The cotangent force makes particles repel each other. The reprojection of normal vector constrains particles moving on the surfaces. The particle system can finally reach a stable and balance state. The method is also effective on displaying singularity points. The experiments result show the flexibility and efficiency of the particle system.
STM sustains stem cell function in the Arabidopsis shoot apical meristem and controls KNOX gene expression independently of the transcriptional repressor AS1

The Arabidopsis KNOX gene SHOOT MERISTEMLESS (STM) is required for both the development and the sustained function of the shoot apical meristem (SAM) and can induce de novo meristem formation when expressed ectopically. STM acts through induction of cytokinin (CK) synthesis to inhibit cellular differentiation and additionally functions to organize undifferentiated cells into a self-sustaining meristem. STM has been shown to positively regulate the related KNOX genes KNAT1/BP and KNAT2, and it has been proposed that this is mediated through repression of the ARP-type transcriptional repressor ASYMMETRIC LEAVES1 (AS1). Here we investigate the role of STM in SAM organization, stem cell maintenance and the regulation of KNOX gene expression. We show that culture of stm mutant explants in high CK conditions does not restore proper sustained shoot growth, supporting the idea of STM having CK-independent roles in meristem function. Furthermore, we show that STM is required for continued stem cell function in the SAM by sustaining expression of the stem cell-promoting factor WUS and preventing cells of the meristem organizing center from adopting lateral organ-specific fates. We also demonstrate that transcriptional activation of class-1 KNOX genes by STM is independent of AS1, since AS1 transcript levels are not reduced in response to STM and STM is able to transactivate expression of both KNAT1/BP and KNAT2 in the as1 mutant background.
Control System Design of an Autonomous Underwater Vehicle

The structure of an autonomous underwater vehicle is introduced, its dynamic model is established and simulation result is presented. Its stable and reliable control system design is discussed in detail from main control unit, communication unit to motor driving unit. A double-server, warm-cold backup scheme is used to design the control system of the AUV in order to make it more tolerant and reliable, and a fuzzy-PI control method is used to realize the reliable control of the motors of the AUV
Changes in Audiovisual Word Perception During Mid-Childhood: An Erp Study

Author: Ancel, Elizabeth, E. MS Institution: Purdue University Degree Received: August 2018 Title: Changes in Audiovisual Word Perception During Mid-Childhood: An ERP Study Major Professor: Kaganovich, Natalya Throughout school-age years, speech perception is an important skill that often relies on the child’s ability to combine both auditory and visual information from the speaker. In order to better understand the development of multisensory speech perception during mid-childhood, we analyzed audiovisual word perception in three groups of participants: 8-9-year olds, 11-12-year olds, and adults. Participants matched visually-perceived articulatory movements with corresponding auditory words. In “congruent” trials, the auditory word matched the subsequently presented silent visual articulation. In “incongruent” trials, the words presented differed on the initial phoneme. From this task, we evaluated specific neural components —the N400 and the Late Positive Complex (LPC) — which index the phoneme and whole word level of audiovisual processing, respectively. The results of this experiment were then related to a real-life behavioral speech perception skill, namely, listening to speech-in-noise. Our results suggest that while the LPC becomes adultlike by the age of 11 or 12, the N400 is not fully matured until later in development. In addition, the relation of the LPC to listening to speech-in-noise is stronger earlier in childhood while the relation of the N400 is stronger during later school years and adulthood. Overall, we show that audiovisual processes related to the whole-word level mature earlier in childhood than processes related to the phonological level.
Frequency constrained control of oscillations in flow problems

In this paper we investigate the control of flow problems where the control objective is to reduce the oscillation amplitude while keeping the frequency of oscillation between predefined limits at all times. Starting from a simple model representing the oscillatory mode dynamics of the governing equations, the conditions that the control parameters must satisfy in order to achieve the desired objective are derived in detail. The results obtained are illustrated on a physical application example, namely cavity flow control, where it is seen that the controller is successful in achieving the control goal.
Defining a role for Hfq in Gram-positive bacteria: evidence for Hfq-dependent antisense regulation in Listeria monocytogenes

Small trans-encoded RNAs (sRNAs) modulate the translation and decay of mRNAs in bacteria. In Gram-negative species, antisense regulation by trans-encoded sRNAs relies on the Sm-like protein Hfq. In contrast to this, Hfq is dispensable for sRNA-mediated riboregulation in the Gram-positive species studied thus far. Here, we provide evidence for Hfq-dependent translational repression in the Gram-positive human pathogen Listeria monocytogenes, which is known to encode at least 50 sRNAs. We show that the Hfq-binding sRNA LhrA controls the translation and degradation of its target mRNA by an antisense mechanism, and that Hfq facilitates the binding of LhrA to its target. The work presented here provides the first experimental evidence for Hfq-dependent riboregulation in a Gram-positive bacterium. Our findings indicate that modulation of translation by trans-encoded sRNAs may occur by both Hfq-dependent and -independent mechanisms, thus adding another layer of complexity to sRNA-mediated riboregulation in Gram-positive species.
Quality-based distance measures and applications to clustering

When analyzing biological data sets, a common approach is to partition the data into clusters. Examples of this include finding a subset of genes with co-regulated expression among experiments, grouping similar disease phenotypes, or implicating regions of genetic variation in disease. The ability to separate the data into subsets depends upon the structure of the distribution of points and the choice of clustering algorithm. Furthermore, the biological relevance of the clustering results is biased by the variation among the data points themselves. We introduce a mathematical quality-based distance metric which will allow all data, regardless of its error, to be included in analysis without the need to introduce a cutoff. This removes the need to exclude points or to change the dimensionality. The advantage of this approach is shown by clustering simulated data with added noise
Section 1 High Speed Operational Amplifiers

High speed analog signal processing applications, such as video and communications, require op amps which have wide bandwidth, fast settling time, low distortion and noise, high output current, good DC performance, and operate at low supply voltages. These devices are widely used as gain blocks, cable drivers, ADC pre-amps, current-to-voltage converters, etc. Achieving higher bandwidths for less power is extremely critical in today's portable and battery-operated communications equipment. The rapid progress made over the last few years in high-speed linear circuits has hinged not only on the development of IC processes but also on innovative circuit topologies.
Subjective and Objective Watermark Detection using a Novel Approach - Bar-code Watermarking

Many digital watermarking algorithms are proposed in the literature. Broadly these watermarking algorithms can be classified into two main categories. The first category of algorithms uses a pseudo random Gaussian sequence (PRGS) watermark whereas the second category of algorithms uses a binary logo as a watermark. The main advantage of PRGS based watermarking scheme is its ability to detect the presence of watermark without manual intervention. However the main drawback is calculating reliable threshold value. In the similar manner the main advantage of binary logo watermark is that there is no need to calculate threshold value but requires manual intervention to detect the presence of watermark. The advantage and disadvantage of either approach is quite clear hence it would be a good idea to design a watermarking scheme which inherits the advantages from both these approaches. In this paper we present one such approach which is termed as bar-code watermarking. The proposed scheme offers objective as well as subjective detection. A PRGS sequence watermark is represented as a bar-code on a binary logo and embedded in the host image. Watermark detection can be either done subjectively or objectively
Learning from Conditional Distributions via Dual Kernel Embeddings

In many machine learning problems, such as policy evaluation in reinforcement learning and learning with invariance, each data point $x$ itself is a conditional distribution $p(z|x)$, and we want to learn a function $f$ which links these conditional distributions to target values $y$. The learning problem becomes very challenging when we only have limited samples or in the extreme case only one sample from each conditional distribution $p(z|x)$. Commonly used approaches either assume that $z$ is independent of $x$, or require an overwhelmingly large sample size from each conditional distribution. To address these challenges, we propose a novel approach which reformulates the original problem into a min-max optimization problem. In the new view, we only need to deal with the kernel embedding of the joint distribution $p(z,x)$ which is easy to estimate. Furthermore, we design an efficient learning algorithm based on mirror descent stochastic approximation, and establish the sample complexity for learning from conditional distributions. Finally, numerical experiments in both synthetic and real data show that our method can significantly improve over the previous state-of-the-arts.
Identification of Protein Expression Signatures Associated with H. Pylori Infection and Gastric Adenocarcinoma Using Recombinant Antibody Microarrays as Manuscript M600170-mcp200

Running Title: Protein expression profiling of normal and malignant tissue Summary Antibody microarray based technology is a powerful emerging tool in proteomics, target discovery, and differential analysis. Here, we report the first study where recombinant antibody fragments have been used to construct large scale antibody microarrays, composed of 127 different antibodies against mostly immunoregulatory antigens. The arrays were based on single framework recombinant antibody fragments (SinFabs) designed for high on-chip stability and functionality, and were used for the analysis of malignant and normal stomach tissue samples from Helicobacter pylori positive and negative patients. Our results demonstrate that distinct tumor as well as infection associated protein expression signatures could be identified from these complex tissue proteomes, as well as biomarkers such as IL-9, IL-11 and MCP-4, previously not found in these diseases. In a longer perspective, this study may improve the understanding of H. pylori induced stomach cancer and lead to development of improved diagnostics.
COMPARISON OF THE PAIN LEVELS OF COMPUTER-CONTROLLED AND CONVENTIONAL ANESTHESIA TECHNIQUES IN PROSTHODONTIC TREATMENT

Objective: The objective of this study was to compare the pain levels on opposite sides of the maxilla at needle insertion during delivery of local anesthetic solution and tooth preparation for both conventional and anterior middle superior alveolar (AMSA) technique with the Wand computer-controlled local anesthesia application. Material and methods: Pain scores of 16 patients were evaluated with a 5-point verbal rating scale (VRS) and data were analyzed nonparametrically. Pain differences at needle insertion, during delivery of local anesthetic, and at tooth preparation, for conventional versus the Wand technique, were analyzed using the Mann-Whitney U test (p=0.01). Results: The Wand technique had a lower pain level compared to conventional injection for needle insertion (p<0.01). In the anesthetic delivery phase, pain level for the Wand technique was lower (p<0.01). However, there was no difference between the Wand and conventional technique for pain level during tooth preparation (p>0.05). Conclusions; The AMSA technique using the Wand is recommended for prosthodontic treatment because it reduces pain during needle insertion and during delivery of local anaesthetic. However, these two techniques have the same pain levels for tooth preparation.
Design of Novel On-Chip Antennas with Multi-band for UWB Applications

This paper presents novel on-chip antennas with a quintuple and sextet band so that it will be able to operate in the ultra wideband (UWB) applications. On the quintuple band antenna, the patch is consists of two trapezoidal slots which are symmetrical with U-slot near the coaxial feeding in the patch. And in the sextet band antenna, the patch antenna has a sector of circle shape 4-slots. The two types of substrate we have investigated for antenna design are the high resistivity silicon (HRS) and the thermal silicon dioxide SiO2. The return loss values obtained by simulation are compared with the measured antenna parameters. As a result, novel multi-band antenna structures for UWB application is proposed for a quintuple and sextet band application; C-band and X-band.
Evidence for the validity of the Berry-Robnik surmise in a periodically pulsed spin system

We study the statistical properties of the spectrum of a quantum dynamical system whose classical counterpart has mixed phase space structure consisting of two regular regions separated by a chaotic one. We make use of a simple symmetry of the system to separate the eigenstates of the time-evolution operator into two classes in agreement with the Percival classification scheme. We then use a method firstly developed by Bohigas et al. (1990) to evaluate the fractional measure of states belonging to the regular class, and finally present the level spacing statistics for each class. The level spacing distribution of states belonging to the irregular part of the spectra as well as that of the complete set of levels corroborate the Berry-Robnik surmise. We further present a statistical study of the regular levels. The presence of intermediate states-states which belong to neither class as long as R is finite-phase spatially mixed among the set of regular ones, together with the small fractional measure of regular states strongly affects the corresponding level spacing statistics, resulting in a non-negligible deviation from the expected Poisson distribution. We see, however, the remarkable agreement of the irregular level spacing statistics as a direct confirmation of the Berry-Robnik surmise.
Verifying Conformance of Commitment Protocols via Symbolic Model Checking

Commitment protocols have been widely used to capture flexible and rich interactions among agents in multi-agent systems. Although there are several approaches specifying commitment protocols, none of them synthesize formal specification and automatic verification of these protocols within the same framework. This paper presents a new approach to automatically verify the conformance of commitment protocols having a social semantics with specifications at design time. The contributions of this paper are twofold: first, we present a new language to formally specify the commitment protocols, which is derived from a new logic extending CTL∗ with modality of social commitments and actions on these commitments; and second, we develop a symbolic model checking algorithm for the proposed logic, which is used to express the protocol properties we aim to check such as safety and liveness. We also present experimental results of verifying the NetBill protocol as a motivating and specified example in the proposed language using the MCMAS model checker along with NuSMV and CWB-NC as benchmarks.
Cutting Edge: Soluble HLA-G1 Triggers CD95/CD95 Ligand-Mediated Apoptosis in Activated CD8+ Cells by Interacting with CD81

The nonpolymorphic soluble HLA-G1 (sHLA-G1) isoform has been reported to be secreted by trophoblast cells at the materno-fetal interface, suggesting that it may act as immunomodulator during pregnancy. In this paper, we report that affinity-purified β2-microglobulin-associated sHLA-G1 triggered apoptosis in activated, but not resting CD8+ peripheral blood cells. We demonstrate by Western blotting that sHLA-G1 enhanced CD95 ligand expression in activated CD8+ cells. Cytotoxicity was inhibited by preincubation of the cells with a CD95 antagonist mAb (ZB4) or a soluble recombinant CD95-Fc, indicating that apoptosis is mediated through the CD95/CD95 ligand pathway. Finally, we show that such sHLA-G1-induced apoptosis depends on the interaction with CD8 molecules, with cell death being blocked by various CD8 mAbs.