Miracle-dz/UniFAR-FTUs huggingface dataset:
Learning for Interaction Extraction and Verification from Biological Full Articles

Many previous biological interaction extraction systems are based on hand-crafted rules which have to be specifically tuned to the specific biological application domain. But manually constructing and tuning the rules is time-consuming and also less portable. Therefore, a supervised machine learning method is on the rise to generate the extraction rules automatically, but it has a barrier to accept the trade-off between precisions and recalls (low recall with high precision and vice versa). In this paper, we propose a two-phase machine learning-based biological interaction extraction method. First, the system focuses on improving a recall in extracting interactions between biological entities by using a supervised interaction learning method. Second, the system removes the incorrect biological interactions by verifying the extracted results with a Maximum Entropy (ME) classification method. In other words, the system targets for high recall in the first learning phase and tries to achieve high precision with a verification in the second phase. The experiments using 2 different groups of full articles with total 702 biological interactions show the reasonable final F-measure performance (in a 5-fold cross validation) and we can validate that the postverification is useful to increase the precision without dropping the recall.
Distributed estimation and control of swarm formation statistics

We describe distributed estimation algorithms that allow robots in a communication network to maintain estimates of summary statistics describing the shape of the swarm. We show that these estimators, combined with motion controllers implemented on each robot, result in the swarm formation statistics being driven to desired values in the presence of a changing network topology and the addition and deletion of robots
TDOA Based Positioning in the Presence of Unknown Clock Skew

This paper studies the positioning problem of a single target node based on time-difference-of-arrival (TDOA) measurements in the presence of clock imperfections. Employing an affine model for the behaviour of a local clock, it is observed that TDOA based approaches suffer from a parameter of the model, called the clock skew. Modeling the clock skew as a nuisance parameter, this paper investigates joint clock skew and position estimation. The maximum likelihood estimator (MLE) is derived for this problem, which is highly nonconvex and difficult to solve. To avoid the difficulty in solving the MLE, we employ suitable approximations and relaxations and propose two suboptimal estimators based on semidefinite programming and linear estimation. To further improve the estimation accuracy, we also propose a refining step. In addition, the Cramér-Rao lower bound (CRLB) is derived for this problem as a benchmark. Simulation results show that the proposed suboptimal estimators can attain the CRLB for sufficiently high signal-to-noise ratios.
Growth hormone treatment prevents the decrease in insulin-like growth factor I gene expression in patients undergoing abdominal surgery.

Acquired GH resistance together with reduced skeletal muscle mass are found in patients with increased protein catabolism due, for example, to sepsis, trauma, or major surgery. Both administration of glutamine-containing parenteral nutrition and GH treatment have been found to diminish this catabolism. The effects of GH are mediated in part by insulin-like growth factor I (IGF-I) that is produced in the liver and locally in GH target tissues. The aim of this study was to investigate the effect of GH treatment on expression of the IGF-I gene and GH receptor (GHR) gene in skeletal muscle after major surgery. A new quantitative RT-PCR-based assay was established to measure IGF-I gene expression. Metabolically healthy patients, without significant preoperative weight loss, who were undergoing elective abdominal surgery were included in the study. Five patients (one woman and four men) were treated with daily injections of GH (0.3 IU/kg.day) in addition to being given total parenteral nutrition including glutamine (0.28 g/kg.day). The control group consisted of eight patients (three women and five men), who were given glutamine-enriched total parenteral nutrition but no GH. A muscle biopsy was taken from the lateral portion of the quadriceps femoris muscle preoperatively (day 0) after induction of anesthesia. A second biopsy was taken under local anesthesia on postoperative day 3. Total ribonucleic acid (RNA) was extracted from the muscle biopsies, and IGF-I messenger RNA (mRNA) and GHR mRNA were measured by competitive quantitative RT-PCR assays. IGF-I mRNA and GHR mRNA levels were related to the expression of a housekeeping gene (cyclophilin). In the control group, IGF-I mRNA levels decreased from 1505 +/- 265 (mean +/- SEM) transcripts/cpm cyclophilin on day 0 to 828 +/- 172 on day 3 (P < 0.05). In contrast, IGF-I mRNA levels did not change in the GH-treated group (1188 +/- 400 transcripts/cpm cyclophilin on day 0 vs. 1089 +/- 342 transcripts/cpm cyclophilin on day 3). No statistically significant changes were seen in GHR expression. We conclude that administration of GH prevents the reduction in IGF-I gene expression in skeletal muscle after abdominal surgery.
DETC 2012-71208 VARIATIONAL FORMULATION FOR FRICTIONAL INTERFACE DYNAMICS

The dynamic response of component bolted joints often plays a significant role in the overall behavior of a structural system. Accurate finite element simulation of these problems requires proper treatment of the interface conditions. We present a formulation carefully suited to these problems that incorporates discontinuous Galerkin (DG) treatment locally at the interface. The present work is an extension of our previous investigations of friction models within a finite element method for quasi-static problems. The current emphasis is on the treatment of the inertial term and ensuring that artificial resonance is not induced by the discrete interface. The weak imposition of continuity constraints allows the stick-slip behavior at the jointed surface to proceed smoothly, reducing the numerical instability compared to node-to-node contact techniques. As a model problem, we simulate the dynamic response of a lap joint subjected to an impulse axial force assuming Coulomb friction at the interface. INTRODUCTION Mechanical joints are common components of engineering systems to transfer forces between members. The compliance and interfacial friction present in these components often plays a significant role in the overall dynamics of the structure. Often, the primary sources of vibration damping and energy dissipation in an engineered system can be traced back to the local stiffness and damping characteristics of its bolted and riveted joints. Damping can be desirable in order to limit the amplitude of vibrations, while in other cases the associated fretting and wear may be undesirable. The accurate simulation of this dynamic behavior by finite element methods remains a challenging issue because it spans across the scales from nano to macro. While the dynamic response of large contiguous structures can typically be simulated accurately to produce
Design of an ultra-low power SA-ADC with medium/high resolution and speed

Design strategies for power effective medium/high resolution Successive-Approximation ADC are discussed. The study considers reducing the power of the capacitive array with suitable capacitive attenuators that do not need using non-unity capacitors. The design of minimum power comparators is analyzed and a novel comparator scheme, named time-domain comparator, is described. The proposed methodologies, verified with a test design, is capable to provide 12-bit with 50-kHz signal band and 1-V supply. The achieved FoM is 14 fj/conv-level, which is well below the state-of-the-art.
Sliding Modes in Constrained Systems Control

In this paper, a sliding-mode-based design framework for fully actuated mechanical multibody system is discussed. The framework is based on the possibility to represent complex motion as a collection of tasks and to find effective mapping of the system coordinates that allows decoupling task and constraint control so one is able to enforce concurrently, or in certain time succession, the task and the constraints. The approach seems naturally encompassing the control of motion systems in interaction, and it allows application to bilateral control, multilateral control, etc. Such an approach leads to a more natural interpretation of the system tasks, simpler controller design, and easier establishment of the systems hierarchy. It allows a unified mathematical treatment of task control in the presence of constraints required to be satisfied by the system coordinates. In order to show the applicability of the proposed techniques, simulation and experimental results for high-precision systems in microsystem assembly tasks and bilateral control systems are presented.
Qualitative techniques for System-on-Chip test with low-energy protons

This paper presents an intended test setup and methodology for testing micro-controller SoCs against the effects of ionizing radiations. The method structure is based on a modular test sequence for test definition, coding, validation and setup. It will be illustrated by the relevant example of a microcontroller solution including lockstep options. Our methodology proposes using low-energy protons for irradiation, and this paper compares this approach with current techniques, showing how proton testing is becoming increasingly interesting, especially for ultra-deep submicron processes in proton dominated environments like low-shielded Low Earth Orbit missions or aircraft avionics. Beyond the convenience of a simplified test setup one of the main advantages of the proton irradiation approach is that it can be used for simultaneous Single Event Effects (SEE) and Total Ionizing Dose (TID) characterization, closer to the "test as you fly" approach.
R&grating Grid- Pologica Ile

Research on mobile robot navigation has produced two major paradigms for mapping indoor environments: grid-based and topological. While grid-based methods produce accurate metric maps, their complexity often prohibits efficient planning and problem solving in large-scale indoor environments. Topological maps, on the other hand, can be used much more efficiently, yet accurate and consistent topological maps are considerably difficult to learn in large-scale environments. This paper describes an approach that integrates both paradigms: grid-based and topological. Grid-based maps are learned using artificial neural networks and Bayesian integration. Topological maps are generated on top of the grid-based maps, by partitioning the latter into coherent regions. By combining both paradigms-grid-based and topological-, the approach presented here gains the best of both worlds: accuracy/consistency and efficiency. The paper gives results for autonomously operating a mobile robot equipped with sonar sensors in populated multi-room environments.
Distributed Signal Detection under theNeyman-Pearson CriterionQing

A procedure for nding the Neyman-Pearson optimum distributed sensor detectors for cases with statistically dependent observations is described. This is the rst valid procedure we have seen for this case. This procedure is based on a Theorem proven in this paper. These results clarify and correct a number of possibly misleading discussions in the existing literature. Cases with networks of sensors in fairly general conngurations are considered along with cases where the sensor detectors make multiple bit sensor decisions.
Rendering Polygonal Scenes with Di raction Account

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Adaptive Local Power-Law Transformation for Color Image Enhancement

Color image enhancement is a very important process that has significa ntly impacted many portable devices, including PDAs, digital cameras, and mobile camera phones. Due to the limited memory space and computational power of portable devices, reducing the computational complexity of an embedded system is priority concern. Thus, this paper proposes an adaptive local power- law transformation method with low computational complexity and high performance. In order to reduce the computational time, a fast method is proposed to compute the local mean from the neighboring pixels to adapt the exponential value in the power-law transformation for enhancing the color images. The experiments reported included various color images; the results show that the performance of the proposed method is better than the compared global and local enhancement methods in terms of both non-over enhancement and natural color clearly revealed. In particular, the pr oposed enhancement method has low computational cost. Moreover, the proposed algorithm can be run on an embedded environment and processed in a real-time system due to its simplicity and efficiency
Gaussian Mixture Model on Tensor Field for Visual Tracking

Visual tracking remains a challenging problem because of both intrinsic appearance variability of object and extrinsic disturbance. To deal with this problem, we present a novel approach for tracking based on the tensor features. We convert the image into tensor field to yield more discriminating features and encode the target appearance probabilistically with gaussian mixture model (GMM). The model parameters are obtained by a modified EM algorithm using all tensor samples extracted from the target area. An incremental learning procedure is employed to update the model parameters for adapting to the appearance changes over time. Experimental results compared with three state-of-the-art methods demonstrate the good performance of the proposed algorithm under challenging conditions.
Joint mode selection and resource allocation for downlink fog radio access networks supported D2D

Presented as an innovative paradigm incorporating the cloud computing into radio access network, cloud radio access networks (C-RANs) have been shown advantageous in curtailing the capital and operating expenditures as well as providing better services to the customers. However, heavy burden on the non-ideal fronthaul limits performances of C-RANs. Here we focus on the alleviation of burden on the fronthaul via the edge devices' caches and propose a fog computing based RAN (F-RAN) architecture with three candidate transmission modes: device to device, local distributed coordination, and global C-RAN. Followed by the proposed simple mode selection scheme, the average energy efficiency (EE) of systems optimization problem considering congestion control is presented. Under the Lyapunov framework, the problem is reformulated as a joint mode selection and resource allocation problem, which can be solved by block coordinate descent method. The mathematical analysis and simulation results validate the benefits of F-RAN and an EE-delay tradeoff can be achieved by the proposed algorithm.
E-health Communities and Online Self-help Groups: Applications and Usage Managing Director: Virtual Worlds for Children with Medical Conditions: Experiences for Promoting Positive Youth Development Virtual Worlds for Children with Medical Conditions Virtual Worlds for Children with Medical Condition

This chapter describes an innovative, technology-based intervention for children with critical medical conditions that utilizes the Zora virtual world. Most specifically, the chapter describes two experiences, one with post-transplant pediatric patients and the other with pediatric cancer patients who participated in Zora. The virtual experience was designed to address issues of school transition and medical adherence, while offering psychosocial support in the context of a virtual community of peers. The design of the Zora virtual world is informed by the Positive Technological Development (PTD) framework which was inspired by Positive Youth Development (PYD). In Zora, users can communicate with each other via real-time chat and participate in open-ended guided activities to create a social network of peers. They can also build the personal and public spaces in the virtual city, create interactive characters and write stories for three-dimensional objects. DOI: 10.4018/978-1 -60960-866-8.ch001 Copyright © 2012, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited. Virtual Worlds for Children with Medical Conditions
A high precision 3D dynamic measurement prototype system based on color-coded fringe and phase shifting

Accurate dynamic measurement of the 3-D shape of moving objects is a rapidly expanding field, with applications in entertainment, design, and manufacturing. In this work, the two CCD/CMOS cameras are calibrated with a flexible and accurate camera calibration method. Then, a new approach based on color-coded fringe is proposed for high precision 3D dynamic measurement. The method is based on phase shifting and stereo vision. Combination of color coding and phase shifting can make automatic phase unwrapping, stereo vision can accomplish stereo matching and 3D points reconstruction automatically according to phase map after unwrapping. An experimental result is presented to demonstrate the performance of the method.
The Influence of Art on Singaporean Tertiary Undergraduates’ Acculturation Attitude towards Migrant Workers

The aim of the study was to find out how visual art could be effectively used in a social integration campaign among youth in Singapore. The study used both quantitative and qualitative methods with the aim of evaluating an art campaign‟s effect on Singaporean tertiary students‟ (N=113) attitude towards migrant workers in their country. Three factors were used to define the host society‟s acculturation orientation towards migrant outgroups: national identity, multicultural ideology and perceived consequences of immigration. Questionnaire survey was conducted among experimental and control groups before and after an art exhibition in which the plight of foreign workers were depicted using visual sketches. Only „national identity‟ emerged significant in host society‟s treatment of migrants. Focus group discussions revealed that the artworks were differentially evaluated by the respondents: some felt the need to understand the migrant workers‟ issues more closely, whereas others completely failed to relate to the workers‟ conditions. Based on Elaboration Likelihood Model, it was observed that the respondents widely resorted to peripheral elaboration of the message, which resulted in minimal rational engagement with the core message. The study highlights the importance of interactive mediums and face-toface sharing sessions as additional tools to make social integration campaigns effective.
A survey on design quality estimation for embedded systemsGianluca

This paper is a brief survey on hw/sw codesign, its present features and its possible future developments. It is beyond the scope of this article to give a full explanation of all the steps that lead to a complete design. We will, instead, focus our attention on that set of evaluation criteria used to estimate the eeciency of a design in terms of time to market, cost, power consumption, area occupation and other design constraints. 1 The need for an integrated development environment The great advance in microelectronic technology in the last decade has permitted to increase enormously the number of devices integrated on a single chip. The drawback of the growth of on-chip transistors number has been the growth of the design complexity itself. As a result neither a single designer or a design team could be able to complete the design cycle in a reasonable time. This lead the researchers involved in this area to change drastically the design style and techniques introducing software tools, well known as CAD tools, intended to help the designer to carry out his task as soon and as eeciently as possible. A CAD tool is roughly divided into three parts: a schematic editor, that is a tool by which the designer speciies, at diierent levels of abstraction (i.e. transistor level, gate level, functional block level), the circuit functionalities; a time analyzer and a test pattern generator for debugging circuit and evaluating its performances; a silicon compiler, that is a tool that capture the schematic view, translate it into a layout and maps it into silicon according to the target technology. A graphic schematic is not the only way to specify the circuit functionality, ad-hoc languages,known as HDLs, have been developed as well. These languages allow a circuit description by means of a highly-specialized instruction set. Several CAD tools have been developed, but what the designers and scientiic community still did not think about, was a set of rules to make more eecient and faster the design. The need of a general and eecient design methodology is even much stronger in the area of special purpose applications in which the designer must skim among several possible architectures and decide which tasks will be carried out by hardware and which ones by software routines without knowing a-priori which solution better matches the design constraints. Furthermore the exigencies of the market must be satissed: the …