Miracle-dz/UniFAR-FTUs huggingface dataset:
Vision-based Tracking of a Moving Ground Object by Quadcopter UAV using Noise Filtering

Tracking of ground object using quadrotor unmanned aerial vehicles (UAVs) still remains challenging because of highly involved dynamics of quadrotor UAVs and the presence of large amounts of sensory and computed noise in the control system loop. This study proposes a visual servoing control system of a quadrotor UAV for tracking of a moving ground object. The proposed control system employs a single monocular camera to estimate object’s position and allows to compensate for the noise introduced by the visual sensor by means of filtering. The proposed control strategy was verified through a series of computer simulations for various distinctive object motion trajectories and velocities. Implementation of the developed vision-based control system with noise filtering allowed to decrease object tracking error by 30%-60% depending on the object’s velocity. In addition, simulation results demonstrated that the developed control system allowed to increase the range of trackable object velocities, with the maximum tracking velocity increasing by 11% in case of a sharp turn as a result of filter implementation.
SOCIAL-PSYCHOLOGICAL FACTORS AFFECTING HELP-SEEKING FOR EMOTIONAL PROBLEMS

Predictors of the attitudinal measure of orientation toward help-seeking for emotional problems have been shown to include demographic, network, and personality variables. This research determined whether these same variables predict the behavioral outcome measure of help-seeking, both in general and from professional services in particular. Help-seeking in response to emotional problems was studied in a sample of Australian adolescents. General help-seeking was predicted by more symptoms of psychological distress, being female, availability of social support, knowing someone who had sought professional help, and the personality characteristics of high private self-consciousness and willingness to disclose mental health. When only those with evident emotional distress were considered, only gender and willingness to disclose remained significant predictors. These same variables did not account for those who sought professional help rather than relying upon their informal network. Level of psychological distress was the only significant predictor of professional consultation. Psychological symptoms and gender were shown to be more relevant predictors of the behavioral measure of help-seeking than network or personality characteristics. Key words-help-seeking, emotional problems
Why Can't You Do That HAL? Explaining Unsolvability of Planning Tasks

Explainable planning is widely accepted as a prerequisite for autonomous agents to successfully work with humans. While there has been a lot of research on generating explanations of solutions to planning problems, explaining the absence of solutions remains an open and under-studied problem, even though such situations can be the hardest to understand or debug. In this paper, we show that hierarchical abstractions can be used to efficiently generate reasons for unsolvability of planning problems. In contrast to related work on computing certificates of unsolvability, we show that these methods can generate compact, human-understandable reasons for unsolvability. Empirical analysis and user studies show the validity of our methods as well as their computational efficacy on a number of benchmark planning domains.
Dental implants – Quo vadis?

The use of osseointegrated implants as a foundation for prosthetic replacement of missing teeth has become widespread over the past several decades. Implant therapy is a common, almost daily practice, and will probably gain in popularity during the next several years. In the near future of implant dentistry, there will be a need for further research to prevent and treat implant failure and complications in order to improve the long-term implant success and eliminate implant-related complications. The goal of our cumulative knowledge from dental implant research is to provide the patient with immediate tooth replacement in the simplest, quickest and most functionally and esthetically predictable way.
Modeling and Evaluation of Composite Web Services Based on Generalized Stochastic Petri Net

To ensure the correctness of composite Web services described by semantic Web services markup language(OWL-S),and to guarantee the high performance of the composite Web services,a generalized stochastic Petri net based method is proposed for modeling,verification and evaluation of the OWL-S process models.The transforming rules from OWL-S process models to generalized stochastic Petri net(GSPN) are given.The analysis of S-invariant,T-invariant and reachability of the Petri net are used to verify the soundness of the process models.Moreover,Markov chains of the models are constructed.Performances of the processes are analyzed in terms of steady state probability distribution of generalized stochastic Petri net.It is verified mathematically that the models are correct and reliable.Also the bottlenecks of composite Web services is found.It is believed that the method will support to the reconstruction,optimization and decision-making of the composite Web services.
Structure and Dynamics in Colloid{Polymer Mixtures Out of Equilibrium

Colloidal dispersions out of equilibrium have wide-ranging applications in science and engineering, including biotechnology, consumer products, and the chemical industry. Examples include high-throughput particle separation using microfluidic devices, the deposition of multilayer or functional coatings, and the assembly of colloidal crystals for optics and photonics. Colloidal dispersions are typically carefully engineered and often have multiple components, e.g., hard particles, polymers, and surfactants. A key challenge is to connect the microscopic properties of the colloidal dispersion to the macroscopic properties that emerge such as large-scale assembled structures or the suspension rheology. Predicting this relationship is complicated by the intimate coupling between structure and dynamics in colloidal suspensions at the microscopic level, which is the focus of this dissertation. Massive-scale molecular simulations are applied to study the structure and dynamics of colloids, polymers, and their mixtures out of equilibrium. The simulations are accelerated by algorithms and software developed for the massively parallel architectures of graphics processing units. I first investigate the cross-stream migration of colloids in microfluidic channels. A distinct focusing into the channel center is obtained for colloids in dilute polymer solutions, but significant scatter around this focused position is observed due to conformational fluctuations in the polymer solution. I next consider the flow-induced axial dispersion of colloids in microfluidic channels. I develop a complete theoretical framework for analyzing this dispersion, finding that it is critical to consider microscopic structuring due to confinement when the colloid diameter is comparable to the channel size. Nonequilibrium structure formation in drying films is then explored. I demonstrate how mixtures of colloids and polymers vertically segregate (stratify) into layers and propose a model for this process based on dynamical density functional theory. I finally consider the evaporationinduced assembly of colloidal crystals, showing how solvent evaporation influences iii early stages of crystal formation but that structural rearrangements compete with the drying dynamics at later times to determine the final morphology. In all cases, hydrodynamic interactions are shown to play an essential role in determining the colloid dynamics.
Launch of a product and patents: evidence from the US cardiovascular pharmaceutical sector

ABSTRACT Recent literature on the role of patents in shaping competition between incumbents and new entrants shows mixed evidence, as patents can discourage entry into markets but may also encourage potential entrants by increasing profitability from research and development. The increasing use of patents as strategic weapons motivates this investigation of the impact of innovation on competition. In a case study of US pharmaceutical cardiovascular submarkets over the period 1988–1998, we use a panel probit model to study the impact of a firm’s patents and rivals’ patents in the firm’s decision to launch new products. Our results show that the number of a firm’s lagged patents encourages the firm’s entry with new products, while rivals’ initial stock of patents discourages entry, but more recent patents promote entry by opening new technological opportunities.
Panel Unit Root Testing with R

This paper briefly reviews the panel unit root tests implemented in R. All the presently available functions are implemented in either the plm package (Croissant and Millo 2008) or the punitroots package (Kleiber and Lupi 2011). The performance of the tests is compared using some Monte Carlo experiments carried out under a fairly realistic Data Generating Process. The practical application of the different tests is illustrated using international unemployment data. This document has been last updated on Wednesday 18 May, 2011.
MOLECULAR MECHANISMS OF THE INTERACTION BETWEEN INFLUENZA VIRUS HAs AND SIALOGLYCAN RECEPTORS

Influenza viruses are found in nature in a wide range of animals, including also humans.When avian and human viruses simultaneously infect an intermediate host, such as pigs, genetic recombination can occur between these viruses. This review article of the literature data focuses on the structure and distribution of receptors for human and other animal influenza viruses, and on molecular mechanisms underlying influenza virus recognition with specific glycan structures. To understand interspecies transmission of influenza viruses, it is essential to elucidate the molecular mechanisms of the interaction between influenza virus HAs and sialoglycan receptors expressed on different host cells. This review also presents data about synthetic glycopolymers carrying multivalent sialylated carbohydrates, which have been applied not only to address the molecular mechanisms of virus host cell interaction, but also inhibition of influenza virus infection
A nonlinear model for soft rock and its application in bridge pier settlement calculation

A phenomenological model has been developed for soft rock based on the results of a series of triaxial compression (TC) tests conducted on Kobe sandstone with a very high measurement precision. From the analysis and interpretation of the test results, it has been found that small strain Young's modulus (E) is a function of the major principal stress. E for elastic strains of soft rock is assumed to be cross-anisotropic. A damage function has been used to derive the appropriate elastic Young's modulus when subjected to shear loading. As the basic stress-strain relation, the relationship between the tangent modulus and the shear stress level is used. The differential form of which is subsequently integrated by a 4th order Runge-Kutta solver to obtain the stress-strain relation. The model of soft rock considered an isotropic hardening elasto-plastic FEM solver which takes into account the pressure sensitivity, cross-anisotropy, degradation of Young’s modulus with the degree of mobilized shear stress and the nonlinearity of the shear stress-shear strain relationship. This model is successfully calibrated with Akashi gravel and applied in the simulation for the settlement of Akashi-Kaikyo bridge piers. The simulations were carried out for both drained and undrained condition by changing the Poisson’s ratio. The layering informations beneath the foundations were used in the FEM simulation. The use of very accurate Young's modulus from the field shear wave velocity test was the key to the successful simulation of the settlement under bridge pier foundations.
Warp Lockstep Warp Bottleneck L Multi Lookup Table In Parallel Dynamic Table with LRU Warp Passthrough ARGA SolutionsExisting Limitations Speedup Wrap Balance High Hitrate

Many data-driven applications including computer vision, speech recognition, and medical diagnostics show tolerance to error during computation. These applications are often accelerated on GPUs, but high computational costs limit performance and increase energy usage. In this paper, we present ARGA, an approximate computing technique capable of accelerating GPGPU applications. ARGA provides an approximate lookup table to GPGPU cores to avoid recomputing instructions with identical or similar values. We propose multi-table parallel lookup which enables computational reuse to significantly speed-up GPGPU computation by checking incoming instructions in parallel. The inputs of each operation are searched for in a lookup table. Matches resulting in an exact or low error are removed from the floating point pipeline and used directly as output. Matches producing highly inaccurate results are computed on exact hardware to minimize application error. We simulate our design by placing ARGA within each core of an Nvidia Kepler Architecture Titan and an AMD Southern Island 7970. We show our design improves performance throughput by up to 2.7× and improves EDP by 5.3× for 6 GPGPU applications while maintaining less than 5% output error. We also show ARGA accelerates inference of a LeNet NN by 2.1× and improves EDP by 3.7× without significantly impacting classification accuracy. CCS CONCEPTS • Computer systems organization → Multicore architectures; • Computing methodologies → Machine learning approaches.
Advanced process to embed optical fiber sensors into casting mold for smart manufacturing

iv ACKNOWLEDGMENTS . v LIST OF ILLUSTRATIONS . viii LIST OF TABLES . ix
Analyzing Helpfulness of Online Reviews for User Requirements Elicitation

Online reviews have become a novel data resource for requirements elicitation.However,the quality differences of reviews cause great difficulty in eliciting highly accurate and reliable user requirements by automatic mining technology.The prerequisite of user requirements elicitation is how to discover more helpful reviews that can describe user requirements accurately.For this problem,this paper proposes an approach to analyzing the helpfulness of a review for requirements elicitation based on Complex Network Theory.In our approach,we employ the semantic association between the reviews to analyze the degree to which a review is helpful for identifying user requirements,and then discover the reviews that can describe user requirements accurately.Our approach regards the reviews as a network topology with associated content,and uses the node importance of a review in the network to measure the helpfulness of the review.The node importance of a review is computed based on topological potential by integrating the users' subjective evaluation and the objective influence of the network topology.Experimental results show that our approach can identify more helpful reviews to support user requirements elicitation with sufficient accuracy and coverage.
Simultaneous quantification of biomarkers using wax-patterned paper-polymer centrifugal optics

In this study, we demonstrate a novel wax-patterned paper-polymer centrifugal optical system for performing multiple biomedical tests. The system consists of a detector (photodiode, LED), a diagnostic disc (paper, plastic) and a DC motor, allowing monitoring of changes in real time absorbance. Here, a wax printer was used to form hydrophobic channels on paper. The diagnostic disc can be prepared by attaching wax-patterned paper to a plastic disc. After the diagnostic disc is mounted on the dc motor, the fluid first wets the wax-patterned paper by centrifugal force, slowly moves by capillary action, and the reaction proceeds in the reaction zone with enzyme and color indicator. Microfluidic devices prepared in the wax-patterned paper have several attractive features such as low cost, ease of use, disposability and portability. In addition, the centrifugal disk-based platform can provide a solution for high-efficiency analysis that can process multiple reactions in parallel and monitor reactions in real time. To demonstrate the usability of this system, we performed realtime monitoring of glucose, an important indicator of blood glucose. The detection results could be delivered with the calibration curve within 10 seconds and no complex image analysis was required. The developed wax-patterned paperpolymer centrifugal optical system is promising for clinical multianalyte point-of-care testing due to its ease of manufacture, ease of operation, low cost and high sensitivity.
Shape Grammars Reality (SGr) : computing in the real world

As a rule, architects calculate, draw, annotate, write, diagram, model, map, photograph, animate, or simply visualize objects, spaces, territories, and processes. They make visual and verbal representations compiling ideas that they have "seen" from direct sensory observations and past memories. Shape Grammars Reality (SGR) allows architects to apply design rules in the real world, by utilizing the idea of calculating with shapes. The current applications of the computational theory of Shape Grammars use primarily sketching on tracing paper with conventional tools. SGR proposes a user interface on the intersection between Augmented Reality (AR) technologies and eye-tracking research. By using Virtual Reality headsets, a designer is able to brainstorm-draft in real time, by applying basic schemas and transformation rules in the smartphone' SGr app. The combination of shape rules and Augmented Reality of this thesis is unique since the current design tools within the ecology of Virtual Reality (VR) and Augmented Reality (AR) applications are not rule-based. The designer explores possibilities by inventing his/her own library of schemas through seeing. Given the fact that seeing is by definition a non-linear process, SGR allows the emergence of shapes in design via real time interaction between the reality of a space and the design intention of the user. Thesis Advisors: George Stiny, Terry Knight Title: Professors of Design and Computation
Sterilization of granular materials in a low-pressure plasma circulating fluidized bed reactor and an atmospheric-pressure dielectric barrier discharge

The objective of our research project is to sterilize powders and granular materials for pharmaceutical and food applications (e.g. wheat grains) in a non-thermal plasma. The application of conventional thermal or chemical sterilization methods for this purpose is often limited, since many products are sensitive to heat, moisture and a variety of chemicals. Radiation sterilization is a rather novel method to sterilize products, however, it is not accepted without reserve among consumers, especially in the case of gamma irradiation. A promising alternative to these methods is plasma sterilization. The sterilizing effect of a plasma treatment was successfully demonstrated in numerous research activities (mostly on flat substrates, inoculated vials or medical devices) [1]. In general, it is agreed that the synergetic combination of UV inactivation, photodesorption resulting from UV photons and the etching by reactive species is responsible for the effective destruction of microorganisms [2].
Circuits for Analog Signal Conditioning with a-GIZO Transparent TFTs

This work aims to study the feasibility and limitations of amorphous Gallium-Indium-Zinc-Oxide (a-GIZO), thin-film transistor (TFT) technology for analog circuit design. In order to design and simulate circuits with these devices, a model has been developed using artificial neural networks and implemented in verilog-A for circuit simulation. The model validation and the a-GIZO TFT capability to perform signal processing operation are demonstrated with a multiplier circuit simulation, using the developed ANN model.
The Nutraceutical Impact of Polyphenolic Composition in Commonly Consumed Green Tea, Green Coffee and Red Wine Beverages: A Review

Commonly consumed beverages, e.g., green tea, green coffee, and red wine, have gained a prominent role in food science due to their nutraceutical value. The high content in bioactive compounds, particularly polyphenols, able to scavenge free radicals and other reactive species, has led to considerable interest in assessing the impact of their consumption in human diet. In vitro and in vivo tests have highlighted the multiple reaction mechanisms involved in the protective role of polyphenols; nevertheless, the variability of chemical structures of phenolic compounds, their reactivity and side-effects, and their availability to the human metabolism are key issues to increase awareness on the use of functional beverages as diet supplements. This review aims to provide chemical and nutraceutical bases to establish the healthy effects induced by green tea, green coffee and red wine polyphenols intake in human diet.
Mise en œuvre des recommandations médicales : revue systématique des revues systématiques

La diffusion de l’innovation, les changements dans l’organisation des soins ou dans le mode de rétribution des médecins et la pression des malades sont parmi les facteurs responsables de l’évolution de la pratique médicale. Cependant, cette évolution a pu apparaître insuffisamment rapide ou parfois non appropriée. Ainsi, l’existence de grandes variations de pratique d’un site à l’autre, de discordances entre les résultats issus de la recherche clinique et leur mise en application dans la pratique quotidienne ou au contraire la mise en œuvre trop rapide de techniques insuffisamment évaluées sont autant de raisons qui ont conduit au développement des recommandations médicales (RM) [1, 2]. Cependant, depuis de nombreuses années, on s’interroge sur la capacité de ces RM à améliorer la qualité des soins. Dès 1987, Kosecoff et al. [3] avaient montré que l’adéquation des pratiques des médecins américains à 12 recommandations issues de 4 conférences de consensus (prise en charge du cancer du sein localisé, réalisation de la césarienne, pontage coronarien, recherche des récepteurs des stéroïdes au cours du cancer du sein) n’avait pas été modifiée par une large diffusion du texte de ces recommandations. En réalité, la mise en œuvre des RM constitue une étape essentielle mais trop souvent négligée par leurs promoteurs, ceux-ci s’arrêtant souvent à la simple diffusion du texte de recommandations [4].
Personal Nature ] : An Artist ’ s Approach to Assistive Technology

[Personal Nature] is an artistic intervention rooted in assistive communication technology. By using physiological sensors on the body a sonification is created, this is to amplify the minute non-verbal communication cues found in our heart and breath rates, temperature, and in the amount of moisture found on our skin, all processed through time. The goal of this sonification is to replicate the sounds of a park through real world recordings including birdsong, children’s laughter, wind and water as to create a space conductive to communication. The intended user of this technological intervention is a person who is in a coma or is otherwise (seemingly) unresponsive and their loved ones. This article explores the artist’s process of using art, design and research methodologies. By looking at the disruption through the lens of different philosophies while considering the benefits of nature, music therapy and communal healing this paper attempts to fully explore aesthetics within the hospitals critical care unit.
OPEN SYSTEM ARCHITECTURE FOR CONTROL SYSTEM FOR INDUSTRIAL ROBOT

This paper analyses the research advances on the open robot system architecture and discusses research and development issues pertinent to the open control system for the industrial robot,using PC technology,fieldbus (CAN)technology,and multisensory technology,And finally,an introduction has been made of the open AIASUN-06B control system for the industrial robot copyright reserved by SIA.