Miracle-dz/UniFAR-FTUs huggingface dataset:
VQI : 3 D Visual Query Interface

The 3D Visual Query Interface (3D VQI) is a web-based database application that allows for shape-based searches in addition to more traditional text-based queries of the 3D vessel dataset. This interface allows researchers remote access to vessel collection that can be analyzed from anywhere in the world. The interface is divided into two sections with right half supporting the ability to draw profile curve both symmetric and asymmetric. This query can be further refined using the left half which provides contextual based information. Using a curve-matching algorithm the software then searches the database and returns a series of potential matches sorted by the percentage of similarity between the curves. Each match can then be selected for more detailed viewing of the 3D model and data or for further analysis. The 3D Visual Query Interface (VQI) is a web application which allows shape-based matches in addition to text-based search into a 3D vessel database. The application focuses on providing the ability for the user to draw the profile curve as one of the main input criteria for shape-based matching in addition to text-based search. Based on the search conditions given, the application executes a shape matching algorithm and contextual-based search and displays all the matching results. The application also needs to display the 3D view of the vessel in a more robust way reducing the burden on the users to install software. It also needs to have cross-browser and cross-platform capabilities and provides help, demo and feedback features for the users to effectively use the web interface. 2 Introduction 3D knowledge often plays an important role in archaeology. Archaeologists characterize the development of Native American cultures by studying the 3D form of pottery. Access to a large repository of 3D vessels via the web can provide a means to study pottery when access is limited by geography or other barriers. Quantitative methods of reasoning about the shape of a vessel are becoming far more powerful than was possible when vessel shape was given a mathematical treatment by G. Birkhoff [1]. Therefore physical measurements and other interactions using an Online, interactive digitized 3D version of a specimen will facilitate new techniques for research and education by archaeologists. This report describes the methodology used in the development of the VQI web application on content-based retrieval and 3D interactive display of archaeological vessels. This report uses vessels from the Classic Period (A. D. 1250 …
Measurement of photoacoustic signals from skin: potential application to burn depth estimation

We propose a new method of burn depth estimation based on the measurement of photoacoustic signal from the skin, where the acoustic waves originated from the light absorption by blood are detected with a piezoelectric transducer put on the skin surface. Because vascular occlusion takes place in the thermally-damaged tissue layer, the propagating time of the blood-originated signals would have the depth information of injury. To investigate the validity of the proposed diagnosis, experiment using rat burn model was performed. The results showed that deep burn (DB), deep dermal burn (DDB), and control (healthy skin) can be well differentiated by the photoacoustic signals. Quantitative information relating to the depth of injury can be also obtained from the signals.
Is the Strategic Role of Large-Scale Information Systems an Essential Part of Quantitative Evaluation Process?

The purpose of this paper is trying to gain a better understanding of the role of strategies in the quantitative evaluation process of large-scale information systems and in the alignment between system effectiveness and operational effectiveness. Also, we explores the contribution of strategies to the improvement of operational performance after the implementation of large-scale systems. We uses the results of a survey in the service sector to investigate the stated issue. Initial findings from factor analysis indicated that dimensions such as quality of information and quality of the service stemming from system effectiveness, and performance objectives such as quality and speed stemming from operational effectiveness are important to quantitative evaluation of large-scale systems, and significantly well correlated factors that promote the alignment between system effectiveness and operational effectiveness. Multiple regression analysis provides an explanation of the role of strategy, in aligning large-scale information systems and operational effectiveness and their influence on the improvement of operational performance.
On Thevenin's and Norton's Equivalent Circuits

This paper provides a good look at the concept of equivalence in general and at Thevenin's and Norton's theorems in particular. The ain is to investigate simple, general, and comprehensive ways to present and prove these theorems. It is shown that linearity and the absence of external coupling should not be conditions for Thevenin's and Norton's theorems. It is also shown that the traditional open-circuit, short-circuit, and dead network conditions can be replaced by any two distinct conditions at the terinmals. Two-ports and multiterminal networks are also included in the presentation.
Unscented particle filter for delayed car-following models estimation

Microscopic simulation models have become widely applied tools in traffic engineering. Nevertheless, parameter identification remains a difficult task. This is for one caused by the fact that parameters are generally not directly observable from common traffic data. The second difficulty stems from the fact that real driving behavior is variable in time and space, etc. This paper puts forward a new approach to identify changing parameters of delayed car-following models, i.e. models that include a reaction time. The approach is based on the unscented particle filter approach, which is generalized to enable estimation of reaction times. The estimation of this true delay is achieved without linearization. Besides the methodological contribution, we show empirical evidence for changing driving behavior by applying the approach to real-life microscopic traffic data
General Model of Multiple Weights Fuzzy Appraisal System

This paper considers the general model involving fuzzy appraisal system based on multiple weights. In evaluation problems, weight is the key factor that influences the final assessment results. Hence, how to find a more objective and realistic way to suit the different weigh system is an important topic. However, in tradition way, the vagueness of linguistic terms used by decision maker, such as important etc., is not considered when assessment of relative weight results. Therefore, In order to obtain more precise aggregate evaluation results, a general model of fuzzy appraisal system based on multiple weights is proposed, in which the linguistic terms are applied. Furthermore, both in the aspect of experts' weight and evaluation structure, two-stage situation are considered simultaneously. In discussion section, it is shown that this general model is not only suit for the two-stage situation, but also for one-stage situation as well.
Probability-based constrained MPC for structured uncertain systems with state and random input delays

This article is concerned with probability-based constrained model predictive control (MPC) for systems with both structured uncertainties and time delays, where a random input delay and multiple fixed state delays are included. The process of input delay is governed by a discrete-time finite-state Markov chain. By invoking an appropriate augmented state, the system is transformed into a standard structured uncertain time-delay Markov jump linear system (MJLS). For the resulting system, a multi-step feedback control law is utilised to minimise an upper bound on the expected value of performance objective. The proposed design has been proved to stabilise the closed-loop system in the mean square sense and to guarantee constraints on control inputs and system states. Finally, a numerical example is given to illustrate the proposed results.
Control menus: excecution and control in a single interactor

We propose a new type of contextual pop-up menu called a control menu. These menus combine the selection of an operation and the control of this operation. They integrate up to two scroll bars or spin-boxes and thus allow users to keep their attention focused on the menu during the operation. Control menus can have sub-menus, and also retain the novice and expert modes of use found in marking menus. We describe control menus and how they are useful in different types of user interfaces. A program incorporating our control menus can be tested at http://www.infobiogen. fr/services/zomit/.
CVBed : Structuring CVs using Word Embeddings Shweta Garg

Automatic analysis of curriculum vitae (CVs) of applicants is of tremendous importance in recruitment scenarios. The semi-structuredness of CVs, however, makes CV processing a challenging task. We propose a solution towards transforming CVs to follow a unified structure, thereby, paving ways for smoother CV analysis. The problem of restructuring is posed as a section relabeling problem, where each section of a given CV gets reassigned to a predefined label. Our relabeling method relies on semantic relatedness computed between section header, content and labels, based on phrase-embeddings learned from a large pool of CVs. We follow different heuristics to measure semantic relatedness. Our best heuristic achieves an F-score of 93.17% on a test dataset with gold-standard labels obtained using manual annotation.
Isolation and characterization of polymorphic microsatellite loci from Zelkova schneideriana Hand

Zelkova schneideriana is a highly valued hardwood species. An improved technique for isolating codominant compound microsatellite markers was used to develop simple sequence repeat markers for Z. schneideriana. A total of 12 microsatellite loci were identified. Overall, the number of alleles per locus ranged from 8-19, with an average of 11.75. Observed heterozygosity and expected heterozygosity values ranged from 0.109-0.709 and 0.832-0.929, respectively. Polymorphic information content is from 0.803-0.915, with an average of 0.854. These markers will be very important for future research related to the genetic diversity, population structure, patterns of gene flow, and mating system of this species.
Full 3-D transverse oscillations: a method for tissue motion estimation

We present a new method to estimate 4-D (3-D + time) tissue motion. The method used combines 3-D phase based motion estimation with an unconventional beamforming strategy. The beamforming technique allows us to obtain full 3-D RF volumes with axial, lateral, and elevation modulations. Based on these images, we propose a method to estimate 3-D motion that uses phase images instead of amplitude images. First, volumes featuring 3-D oscillations are created using only a single apodization function, and the 3-D displacement between two consecutive volumes is estimated simultaneously by applying this 3-D estimation. The validity of the method is investigated by conducting simulations and phantom experiments. The results are compared with those obtained with two other conventional estimation methods: block matching and optical flow. The results show that the proposed method outperforms the conventional methods, especially in the transverse directions.
Dynamic Behavior Control of Interoperability: An Ontological Approach

The obligation to become more competitive and effective in providing better products and services requires enterprises to transform from traditional businesses into networked businesses. One of the challenges faced by a network of enterprises is the development of interoperability between its members. Transformations in this context are usually driven by Enterprise Interoperability (EI) problems that may be faced. In order to quickly overcome these problems, enterprises need characterizing and assessing interoperability to be prepared to establish means for collaboration and initiate corrective actions before potential interoperability problems occur and then be obliged to make unprepared transformations that may be costly and induce unmanageable issues. In this paper, we define an integrated metamodel for interoperability using DEMO. The proposed metamodel is based on an Ontology of Enterprise Interoperability (OoEI) and concepts from a maturity model for interoperability while taking into account principles from Enterprise Dynamic Systems Control (EDSC) domain. It allows to understand and control the dynamic behavior of interoperability between companies.
Deployment issues for the IP multicast service and architecture

IP multicast offers the scalable point-to-multipoint delivery necessary for using group communication applications on the Internet. However, the IP multicast service has seen slow commercial deployment by ISPs and carriers. The original service model was designed without a clear understanding of commercial requirements or a robust implementation strategy. The very limited number of applications and the complexity of the architectural design-which we believe is a consequence of the open service model-have deterred widespread deployment as well. We examine the issues that have limited the commercial deployment of IP multicast from the viewpoint of carriers. We analyze where the model fails and what it does not offer, and we discuss requirements for successful deployment of multicast services.
Impact of denial of service solutions on network quality of service

The Internet has become a universal communication network tool. It has evolved from a platform that supports best-effort traffic to one that now carries different traffic types including those involving continuous media with quality of service (QoS) requirements. As more services are delivered over the Internet, we face increasing risk to their availability given that malicious attacks on those Internet services continue to increase. Several networks have witnessed denial of service (DoS) and distributed denial of service (DDoS) attacks over the past few years which have disrupted QoS of network services, thereby violating the Service Level Agreement (SLA) between the client and the Internet Service Provider (ISP). Hence DoS or DDoS attacks are major threats to network QoS. In this paper we survey techniques and solutions that have been deployed to thwart DoS and DDoS attacks and we evaluate them in terms of their impact on network QoS for Internet services. We also present vulnerabilities that can be exploited for QoS protocols and also affect QoS if exploited. In addition, we also highlight challenges that still need to be addressed to achieve end-to-end QoS with recently proposed DoS/DDoS solutions. Copyright © 2010 John Wiley & Sons, Ltd.
Multi-Channel Hyperspectral Fluorescence Detection Excited by Coupled Plasmon-Waveguide Resonance

We propose in this paper a biosensor scheme based on coupled plasmon-waveguide resonance (CPWR) excited fluorescence spectroscopy. A symmetrical structure that offers higher surface electric field strengths, longer surface propagation lengths and depths is developed to support guided waveguide modes for the efficient excitation of fluorescence. The optimal parameters for the sensor films are theoretically and experimentally investigated, leading to a detection limit of 0.1 nM (for a Cy5 solution). Multiplex analysis possible with the fluorescence detection is further advanced by employing the hyperspectral fluorescence technique to record the full spectra for every pixel on the sample plane. We demonstrate experimentally that highly overlapping fluorescence (Cy5 and Dylight680) can be distinguished and ratios of different emission sources can be determined accurately. This biosensor shows great potential for multiplex detections of fluorescence analytes.
TRANSIT Routing on Video Game Maps

TRANSIT is a fast and optimal technique for computing shortest path costs in road networks. It is attractive for its usually modest memory requirements and impressive running times. In this paper we give a first analysis of TRANSIT routing on a set of popular grid-based video-game benchmarks taken from the AI pathfinding literature. We show that in the presence of path symmetries, which are inherent to most grids but normally not road networks, TRANSIT is strongly and negatively impacted, both in terms of performance and memory requirements. We address this problem by developing a new general symmetry breaking technique which adds small random epsilon-values to edges in the search graph, reducing the size of the TRANSIT network by up to 4 times while preserving optimality. Using our enhancements TRANSIT achieves up to four orders of magnitude speed improvement vs. A* search and uses in many cases only a small (<=10MB) or modest (<= 50MB) amount of memory. We also compare TRANSIT with CPDs, a recent and very fast database-driven pathfinding approach. We find the algorithms have complementary strengths but also identify a class of problems for which TRANSIT is up to two orders of magnitude faster than CPDs using a comparable amount of memory.
ASSESSMENT OF THE TIME DEPENDENT BEHAVIOUR OF GEOTEXTILES FOR REINFORCED SOIL APPLICATIONS. DURABILITY OF GEOTEXTILES

This paper gives consideration to the strain and stiffness characteristics of soils and geotextiles and describes procedures which assist in ensuring strain compatibility of the two materials. Methods of testing the time dependent load versus strain characteristics of geotextiles and procedures for more reliably determining the long term behaviour are described. An alternative technique for assessing creep behaviour is introduced which is based on a mathematical interpretation of the visco-elastic and plastic strain behaviour generally considered to characterize polymers. The paper concludes with a discussion on the methods of design of reinforced soil structures taking into account the load-strain properties of geotextiles. (Author/TRRL)
Dissecting Open Source Cloud Evolution: An OpenStack Case Study

Open source cloud platforms are playing an increasingly significant role in cloud computing. These systems have been undergoing rapid development cycles. As an example, OpenStack has grown approximately 10 times in code size since its inception two and a half years ago. Confronting such fast-pace changes, cloud providers are challenged to understand OpenStack’s up-to-date behaviors and adapt and optimize their provisioned services and configurations to the platform changes quickly. In this work, we use a black-box technique for conducting a deep analysis of four versions of OpenStack. This is the first study in the literature that tracks the evolution of a popular open source cloud platform. Our analysis results reveal important trends of SQL queries in OpenStack, help identify precise points for targeted error injection, and point out potential ways to improve performance (e.g. by changing authentication to PKI). The OpenStack case study in this work effectively demonstrates that our automated black-box methodology aids quick understanding of platform evolution and is critical for effective and rapid consumption of an open-source cloud platform.
T-box transcription factor Brachyury expression is correlated with epithelial-mesenchymal transition and lymph node metastasis in oral squamous cell carcinoma

The prognosis of patients with oral squamous cell carcinoma (SCC) is influenced by the presence of lymph node metastasis. Epithelial-mesenchymal transition (EMT), a process that involves events that convert adherent epithelial cells into individual migratory cells that can invade the extracellular matrix, is critical for cancer progression. Recently, the T-box transcription factor Brachyury was reported to promote EMT in human carcinoma cell lines. We analyzed the relationship between EMT (assessed by staining for E-cadherin and Vimentin) and the expression of Brachyury in association with lymph node metastasis in oral SCC. Oral SCC biopsy specimens (152 cases) were examined immunohistochemically for the expression of E-cadherin, Vimentin and Brachyury. Expression of Brachyury was correlated with EMT (p=0.035) and was significantly associated with lymph node and distant metastasis (p<0.05). Logistic regression analysis showed that Brachyury and EMT were predictive factors for lymph node metastasis (odds ratio 4.390 and 5.936, respectively) and that EMT was a predictive factor for distant metastases (odds ratio 11.786). Our findings present clinical evidence for an important role of Brachyury in EMT in oral SCC, and suggest that Brachyury and EMT patterns are useful prognostic markers.
Distributed Fountain Codes With Adaptive Unequal Error Protection in Wireless Relay Networks

In wireless relay networks (WRNs), multiple source nodes communicate with a single destination node through a common relay network. Different source nodes may have different error protection or recovery time requirements. In this paper, we focus on unequal error protection (UEP) distributed network coding (DNC) design for WRNs. Specifically, we propose a continuous UEP method based on fountain codes with the objective of satisfying the UEP or unequal recovery time (URT) requirements. Then based upon this UEP method, we develop an adaptive UEP DNC scheme to realize adaptive UEP in WRNs. We analyze the properties of the proposed adaptive UEP DNC scheme and derive the upper and lower bit error rate (BER) bounds for it over Rayleigh fading channels under maximum-likelihood (ML) decoding. Simulation results show that the proposed adaptive UEP DNC scheme has desirable UEP and URT properties. The transmitted data from the source nodes in different protection groups can be recovered successfully under their performance requirements in a shorter time by using the adaptive UEP DNC scheme.
IL-26 Promotes the Proliferation and Survival of Human Gastric Cancer Cells by Regulating the Balance of STAT1 and STAT3 Activation

Interleukin-26 (IL-26) is one of the cytokines secreted by Th17 cells whose role in human tumors remains unknown. Here, we investigated the expression and potential role of IL-26 in human gastric cancer (GC). The expression of IL-26 and related molecules such as IL-20R1, STAT1 and STAT3 was examined by real-time PCR and immunohistochemisty. The effects of IL-26 on cell proliferation and cisplatin-induced apoptosis were analyzed by BrdU cooperation assay and PI-Annexin V co-staining, respectively. Lentiviral mediated siRNA was used to explore its mechanism of action, and IL-26 related signaling was analyzed by western blotting. Human GC tissues showed increased levels of IL-26 and its related molecules and activation of STAT3 signaling, whereas STAT1 activation did not differ significantly between GC and normal gastric tissues. Moreover, IL-26 was primarily produced by Th17 and NK cells. IL-26 promoted the proliferation and survival of MKN45 and SGC-7901 gastric cancer cells in a dose-dependent manner. Furthermore, IL-20R2 and IL-10R1, which are two essential receptors for IL-26 signaling, were expressed in both cell lines. IL-26 activated STAT1 and STAT3 signaling; however, the upregulation of the expression of Bcl-2, Bcl-xl and c-myc indicated that the effect of IL-26 is mediated by STAT3 activation. Knockdown of STAT1 and STAT3 expression suggested that the proliferative and anti-apoptotic effects of IL-26 are mediated by the modulation of STAT1/STAT3 activation. In summary, elevated levels of IL-26 in human GC promote proliferation and survival by modulating STAT1/STAT3 signaling.