Miracle-dz/UniFAR-FTUs huggingface dataset:
Haptic-Based Virtual Reality Dental Simulator as an Educational Tool

This chapter describes the haptic dental simulator developed at the University of Illinois at Chicago. It explores its use and advantages as an educational tool in dentistry and examines the structure of the simulator, its hardware and software components, the simulator’s functionality, reality assessment, and the users’ experiences with this technology. The authors hope that the dental haptic simulation program should provide significant benefits over traditional dental training techniques. It should facilitate students’ development of necessary tactile skills, provide unlimited practice time and require less student/instructor interaction while helping students learn basic clinical skills more quickly and effectively.
Pr A Social History Of Spin

Thank you for downloading pr a social history of spin. Maybe you have knowledge that, people have look hundreds times for their chosen books like this pr a social history of spin, but end up in malicious downloads. Rather than reading a good book with a cup of tea in the afternoon, instead they cope with some malicious bugs inside their computer. pr a social history of spin is available in our digital library an online access to it is set as public so you can get it instantly. Our digital library saves in multiple locations, allowing you to get the most less latency time to download any of our books like this one. Kindly say, the pr a social history of spin is universally compatible with any devices to read.
Short Texts Feature Extraction and Clustering Based on Auto-Encoder

According to the characteristics of short texts, the authors propose a feature extraction and clustering algorithm named deep denoise sparse auto-encoder. The algorithm takes the advantage of deep learning, transforming those high-dimensional, sparse vectors into new, low-dimensional, essential ones. Firstly, L1 paradigm is introduced to avoid overfitting, and the noise is added to improve the robustness. Experimental result shows that applying extracted text features can significantly improve the effectiveness of clustering. It is a valid method to solve the high-dimensional, sparse problem in the short text vector.
Internet of Things: A Comprehensive Review of Enabling Technologies, Architecture, and Challenges

ABSTRACT Internet of Things (IoT) has become a continuously growing concept with the advancements of ubiquitous computing, wireless sensor networks, and machine-to-machine (M2M) communication. IoT connects heterogeneous physical devices and enables communication among them over the Internet via uniquely addressable identifiers. This paper delivers an overview of IoT in the context of the architecture and related technologies. However, IoT does not adhere to a universal architecture. Hence, it describes widely accepted architectural designs, further elaborated with the corresponding communication protocols and standards. Moreover, highly prevalent protocols and standards are summarized, so that the reader can gain an overall view of IoT. Furthermore, it describes some identified solutions and future directions towards overcoming the challenges present in the IoT paradigm. Finally, the paper concludes with some applications of IoT, in order to realize the feasibility of IoT concept in real-world scenarios.
Revealing White Matter Fiber Structure with Diffusion Imaging

The complexity of the brain has made the study of neuroanatomy a notoriously demanding task. Diffusion magnetic resonance imaging probes fiber structures in vivo by measuring the Brownian motion of water molecules. Tractography generates curves from the diffusion imaging data that correlate with the neural fiber pathways. The resulting high-dimensional data sets present a two-fold challenge in both visualization and data analysis. This dissertation presents several diffusion MRI visualization and analysis methods for revealing the white matter structures in the brain. I present a model that describes linear and planar features of the brain anatomy respectively. I discuss strategies in seeding, model placement, display environments and interaction. To further explore the structures in the model, I emulate the way neuroscientists conceptualize neural fibers by grouping closely-related fibers into fiber bundles and studying the consistency, anatomical meaning and other properties of these fiber bundles. Apart from qualitative exploration, I also present quantitative methods such as metrics on tractography models or forward model for the tractography models and employ these methods to study white matter integrity and increase the accuracy of the tractography models. I applied these visualization and analysis methods in biomedical applications such as the studies on multiple sclerosis, brain tumor, and lemur brain. The work in this dissertation advances both qualitative visualization and quantitative analysis of the 3D diffusion imaging models.
Individualized Teaching in Learning Style Dimensions of Colleges and Universities

Learning styles are directly involved in the students' learning activities.Each individual's learning style is unique.Therefore,paying attention to students' different characteristics,especially the learning style in teaching,and carrying out individual teaching can give full play to the potential of students,and achieve the best teaching effect.According to the theory of learning style,the article sorts the elements of learning style,and discusses how to use the theory in classroom to conduct individual teaching.The article puts forward the operational strategy from creating a good learning environment,fully understanding students' learning style,choosing proper teaching contents forms and mobilizing students to participate actively.
Requirements for PAKE schemes

Password-Authenticated Key Agreement (PAKE) schemes are interactive protocols that allow the participants to authenticate each other and derive shared cryptographic keys using a (weaker) shared password. This document reviews different types of PAKE schemes. Furthermore, it presents requirements and gives recommendations to designers of new schemes. It is a product of the Crypto Forum Research Group (CFRG).
Single carrier frequency domain equalization for high data rate transmission systems over frequency selective fading channels

We propose a single carrier frequency domain equalization scheme for data transmission systems with two transmit antennas and two receive antennas. The scheme is shown to achieve the same diversity gains as that of the system with one transmit antennas and four receive antennas at low complexity over frequency selective fading channels. We analyze the impact of channel estimate error on the frequency domain equalization, which is critical when the signal noise ratio is low as in a zero forcing based time domain linear equalization system. Without extra power consumption, system performance can be achieved by channel coding with longer code length. The performance of the proposed scheme is evaluated over block fading Rayleigh distribution channel model. The justification and the performance are demonstrated by numerical simulation.
Point with your eyes not with your hands

The emergence of gesture based controls like the Microsoft Kinect provides new opportunities for creative and innovative methods of human computer interaction. However, such devices are not without their limitations. The gross-motor movements of gestural interaction present physical limitations that may negatively affect interaction speed, accuracy, and workload, and subsequently affect the design of system interfaces and inputs. Conversely, interaction methods such as eye tracking require little physical effort, leveraging the unconscious and natural behaviors of human eye-movements as inputs. Unfortunately, eye tracking, in most cases, is limited to a simple pointing device. However, this research shows by combining these interactions into gaze-based gestural controls it is possible to overcome the limitations of each method, improving interaction performance by associating gestural commands to interface elements within a user’s field of view.
The development of experimental models for NMR studies of neuropathology.

Over the last decade, magnetic resonance imaging (MRI) and spectroscopy (MRS) have gained popularity as sensitive and safe investigations for use in the clinical and research environments. With the rapid grovvth in the availability of magnetic resonance hardware, there is great interest in applying it to the full spectrum of human disease processes. Increasingly researchers are characterising the pathophysiology and natural history of disease in terms of MRIand MRS-visible parameters. Such parameters may be structural, such as organ volume; biophysical such as diffusion, perfusion and temperature or biochemical such as metabolite concentrations and pH. The aim of the work presented in this thesis was to develop and characterise experimental models of focal cerebral ischaemia and Huntington’s disease with respect to the NMR-visible changes in these conditions. A new model of focal cerebral ischaemia in the rat was developed specifically for NMR studies of stroke. It is shown that the model gives a reliable and reproducible lesion and enables the uninterrupted sampling of NMR data during the evolution of tissue damage. Multi-parametric MRI data were acquired which characterise the changes in water diffusion, tissue perfusion and proton NMR relaxation during and following cerebral ischaemia. Finally, the model was used to demonstrate regional activation of STAT-1 in the brain following ischaemia. STAT-1 has been shovm to be important in regulating cell death in the heart and is a potential therapeutic target. In this study, MRI was used to define brain areas with different levels of haemodynamic disturbance which were analysed for STAT-1 activation following ischaemia or ischaemia-reperfusion injury. An existing transgenic mouse model of Huntington’s disease, the R6/2 model, was characterised using quantitative in vivo magnetic resonance imaging and spectroscopy. Changes in proton spectroscopy and transverse relaxation were observed as a function of age and disease progression in affected mice. The potential use of magnetic resonance in the assessment of therapeutic strategies in the future is discussed.
Business Process Wizard

Praca analyzuje existujuce nastroje na modelovanie business procesov a snaži sa pristupiť k tomuto modelovaniu alternativnym sposobom, ktorý by uľahcil modelovanie menej technickým uživateľom. Tento alternativny sposob spociva v podobe softwaroveho sprievodcu. Praca postupne rozobera rozhodnutie sa pre sprievodcu, jeho navrh a použitie.
The Entropy Law And The Economic Process

Thank you for downloading the entropy law and the economic process. As you may know, people have search numerous times for their chosen novels like this the entropy law and the economic process, but end up in infectious downloads. Rather than reading a good book with a cup of tea in the afternoon, instead they cope with some harmful bugs inside their laptop. the entropy law and the economic process is available in our book collection an online access to it is set as public so you can download it instantly. Our books collection hosts in multiple locations, allowing you to get the most less latency time to download any of our books like this one. Kindly say, the the entropy law and the economic process is universally compatible with any devices to read.
A radio Census of binary supermassive black holes

Using archival Very Long Baseline Interferometry (VLBI) data for 3114 radio-luminous active galactic nuclei, we searched for binary supermassive black holes using a radio spectral index mapping technique which targets spatially resolved, double radio-emitting nuclei. Only one source was detected as a double nucleus. This result is compared with a cosmological merger rate model and interpreted in terms of (1) implications for post-merger time-scales for centralization of the two black holes, (2) implications for the possibility of 'stalled' systems and (3) the relationship of radio activity in nuclei to mergers. Our analysis suggests that binary pair evolution of supermassive black holes (both of masses ≥ 10 8 M ⊙ ) spends less than 500 Myr in progression from the merging of galactic stellar cores to within the purported stalling radius for supermassive black hole pairs. The data show no evidence for an excess of stalled binary systems at small separations. We see circumstantial evidence that the relative state of radio emission between paired supermassive black holes is correlated within orbital separations of 2.5 kpc.
AN UPSCATTERING SPECTRAL FORMATION MODEL FOR THE PROMPT EMISSION OF GAMMA-RAY BURSTS

We propose a model for the spectral formation of gamma-ray burst (GRB) prompt emission, where the phenomenological Band function is usually applied to describe this emission. We suggest that the GRB prompt emission is mainly a result of two upscattering processes. The first process is the Comptonization of relatively cold soft photons of the star off electrons of a hot shell of plasma of temperature Te of the order of 109 K (or kTe ∼ 100 keV) that moves subrelativistically with the bulk velocity Vb substantially less than the speed of light c. In this phase, the Comptonization parameter Y is high and the interaction between a blackbody-like soft seed photon population and hot electrons leads to formation of a saturated Comptonization spectrum modified by the subrelativistic bulk outflow. The second process is an upscattering of the previously Comptonized spectrum by the plasma outflow once it becomes relativistic. This process gives rise to the high-energy power-law (PL) component above the peak in the EF(E) diagram where F(E) is the energy flux. The latter process can be described by a convolution of the Comptonized spectrum with a broken-PL Green function. Possible physical scenarios for this second upscattering process are discussed. In the framework of our model, we give an interpretation of the Amati relation between the intrinsic spectral peak photon energy and radiated energy or luminosity, and we propose a possible explanation of the GRB temporal variability.
A quantum gravity tensor equation formally integrating general relativity with quantum mechanics

Extending black-hole entropy to ordinary objects, we propose kinetic entropy tensor, based on which a quantum gravity tensor equation is established. Our investigation results indicate that if N=1, the quantum gravity tensor equation returns to Schrodinger integral equation. When N becomes sufficiently large, it is equivalent to Einstein field equation. This illustrates formal unification and intrinsic compatibility of general relativity with quantum mechanics. The quantum gravity equation may be utilized to deduce general relativity, special relativity, Newtonian mechanics and quantum mechanics, which has paved the way for unification of theoretical physics.
Low transverse emittance electron bunches from two-color laser-ionization injection

A method is proposed to generate low emittance electron bunches from two color laser pulses in a laser-plasma accelerator. A two-region gas structure is used, containing a short region of a high-Z gas (e.g., krypton) for ionization injection, followed by a longer region of a low-Z gas for post-acceleration. A long-laser-wavelength (e.g., 5 μm) pump pulse excites plasma wake without triggering the inner-shell electron ionization of the high-Z gas due to low electric fields. A short-laser-wavelength (e.g., 0.4 μm) injection pulse, located at a trapping phase of the wake, ionizes the inner-shell electrons of the high-Z gas, resulting in ionization-induced trapping. Compared with a single-pulse ionization injection, this scheme offers an order of magnitude smaller residual transverse momentum of the electron bunch, which is a result of the smaller vector potential amplitude of the injection pulse.
Emergent Robustness and Self-Repair through Developmental Cellular Systems

Fault-tolerance and, even more, self-repair remain elusive properties in computing systems. In contrast, natural systems are often cited as examples of flexible, self-repairable systems. Such capabilities rely on many different aspects, but our hypothesis is that (adaptive) growth and cellularity are at the heart of these properties lacking so dearly in human artifacts. In this paper, we propose a simple cellular developmental system to backup through experimental results this hypothesis. First, we show that it is possible to evolve such systems to do specific tasks. Second, and more importantly, that these systems exhibit emergent robustness and self-repair capabilities through their own nature rather than specific design or directed evolution.
Gibbs sampling of complex-valued distributions

A new technique is explored for the Monte Carlo sampling of complex-valued distributions. The method is based on a heat bath approach where the conditional probability is replaced by a positive representation of it on the complex plane. Efficient ways to construct such representations are also introduced. The performance of the algorithm is tested on small and large lattices with a $\lambda\phi^4$ theory with quadratic nearest-neighbor complex coupling. The method works for moderate complex couplings, reproducing reweighting and complex Langevin results and fulfilling various Schwinger-Dyson relations.
Mathematical Model and Software for Multiple Location of Co-Generation Energy Plants: A Case Study in Southern Regions of Chile

This paper addresses the issue of locating and determining the area of supply of various cogeneration energy plants, based on forest biomass. Two models are proposed, binary and mixed programming, depending on whether or not to allow the intersection between supply areas. Each model computes the ideal places to install biomass plants and their respective supply areas of raw material, since the latter are handled implicitly by the decision variables. We also propose two solution strategies depending on the size of the problem: Branch and cut algorithm for problems of medium size and heuristics associated with a genetic algorithm for large problems. We also develop software that automates the construction of the appropriate model, based on information provided by the user, delivering the optimal locations together with supply areas for the number and type of plants desired.
Photo Cleaning: An automatic Redundant Object Removal Tool

This paper proposes a novel technique which removes redundant objects from digital photos. The technique is fully automatic without user interaction. The proposed method is composed of three steps: image registration, color harmonization and redundant object removal. Redundant object removal algorithm is composed of two sub-components: the redundant object detection and the hole filling. Experimental results show that our method produces clean images with visual pleasure.
DYNAMICS OF SOLIDS IN THE MIDPLANE OF PROTOPLANETARY DISKS: IMPLICATIONS FOR PLANETESIMAL FORMATION

We present local two-dimensional and three-dimensional hybrid numerical simulations of particles and gas in the midplane of protoplanetary disks (PPDs) using the Athena code. The particles are coupled to gas aerodynamically, with particle-to-gas feedback included. Magnetorotational turbulence is ignored as an approximation for the dead zone of PPDs, and we ignore particle self-gravity to study the precursor of planetesimal formation. Our simulations include a wide size distribution of particles, ranging from strongly coupled particles with dimensionless stopping time τs ≡ Ωtstop = 10−4 (where Ω is the orbital frequency, tstop is the particle friction time) to marginally coupled ones with τs = 1, and a wide range of solid abundances. Our main results are as follows. (1) Particles with τs ≳ 10−2 actively participate in the streaming instability (SI), generate turbulence, and maintain the height of the particle layer before Kelvin–Helmholtz instability is triggered. (2) Strong particle clumping as a consequence of the SI occurs when a substantial fraction of the solids are large (τs ≳ 10−2) and when height-integrated solid-to-gas mass ratio Z is super-solar. We construct a toy model to offer an explanation. (3) The radial drift velocity is reduced relative to the conventional Nakagawa–Sekiya–Hayashi (NSH) model, especially at high Z. Small particles may drift outward. We derive a generalized NSH equilibrium solution for multiple particle species which fits our results very well. (4) Collision velocity between particles with τs ≳ 10−2 is dominated by differential radial drift, and is strongly reduced at larger Z. This is also captured by the multi-species NSH solution. Various implications for planetesimal formation are discussed. In particular, we show that there exist two positive feedback loops with respect to the enrichment of local disk solid abundance and grain growth. All these effects promote planetesimal formation.
Novel Path Planning for Robots Syncretizing Ant Algorithm and Genetic Algorithm

A based on Ant Algorithm(AA)and Genetic algorithm(GA)for path planning of the robot is proposed.First the grid method is built to describe the working space of the mobile robot,then the Ant algorithm is used to obtain the global navigation path,and the Genetic algorithm is adopted to get the better path.Computer experiment results demonstrate that this novel algorithm can plan an optimal path rapidly in a cluttered environment.The successful obstacle avoidance is achieved,and the model is robust and performs reliably.
UNVEILING FAR-INFRARED COUNTERPARTS OF BRIGHT SUBMILLIMETER GALAXIES USING PACS IMAGING

We present a search for Herschel-PACS counterparts of dust-obscured, high-redshift objects previously selected at submillimeter and millimeter wavelengths in the Great Observatories Origins Deep Survey North field. We detect 22 of 56 submillimeter galaxies (SMGs, 39%) with a signal-to-noise ratio of ⩾3 at 100 μm down to 3.0 mJy, and/or at 160 μm down to 5.7 mJy. The fraction of SMGs seen at 160 μm is higher than that at 100 μm. About 50% of radio-identified SMGs are associated with PACS sources. We find a trend between the SCUBA/PACS flux ratio and redshift, suggesting that these flux ratios could be used as a coarse redshift indicator. PACS-undetected submillimeter/millimeter selected sources tend to lie at higher redshifts than the PACS-detected ones. A total of 12 sources (21% of our SMG sample) remain unidentified and the fact that they are blank fields at Herschel-PACS and the Very Large Array 20 cm wavelength may imply higher redshifts for them than for the average SMG population (e.g., z>3–4). The Herschel-PACS imaging of these dust-obscured starbursts at high redshifts suggests that their far-infrared spectral energy distributions have significantly different shapes than template libraries of local infrared galaxies.
Review of Energy Holes in Wireless Sensor Networks

Based on characters of wireless sensor networks,the nodes around the sink use up their energy much faster than other nodes,which forms the energy holes problem.How to avoid energy problem and to prolong network period is hot in wireless sensor networks.Now methods of solving energy problem are mostly balancing the network's load.We concluded the methods of this problem from five parts,these are energy control and power control,data compress and mixture strategy,node's non-uniform distribution,dynamic nature and increasing sink's number,and cluster algorithm.What is more,we analysed the advantage and disadvantage among these five,and proposed the research direction.