Miracle-dz/UniFAR-FTUs huggingface dataset:
Zygoma implant-supported midfacial prosthetic rehabilitation: a 4-year follow-up study including assessment of quality of life.

OBJECTIVE Successful prosthetic rehabilitation is crucial for quality of life in cases of large maxillary defects when surgical reconstruction is not advisable because of general health or patient refusal. For this purpose, the extended indications for Zygomaticus fixtures in different defect types were evaluated. PATIENTS AND METHODS Twelve patients received 28 zygoma implants and 23 dental implants (if a segment of alveolar process was available) and were followed-up 14-53 months. Zygoma implants were positioned classically in the maxillary molar region and to reduce leverage, a premolar and a canine position was developed. The quality of life was assessed by a validated questionnaire after complete rehabilitation. RESULTS Cumulative zygoma implant survival was 82%. Three losses occurred because of persistent infection and gradual loosening. Lost implants were immediately replaced in adjacent bone. Insufficient implant length within soft tissue reconstructions was prone to chronic infection by pocketing and recurrent overgrowth of granulating tissue. Longer implants were free of soft tissue inhibition, yet prone to overloading and high leverage in cases when no anterior alveolar process and dental implants were present. Zygoma implant success was therefore 71%, including the new premolar and canine Zygomaticus fixture-position. Periotest values increased from 0 to +7 to the fourth year, peri-implant bleeding and plaque index were decreasing from 56% to 0% and 33% to 0%, respectively, and good general quality of life with the priorities on chewing and activity was noted. CONCLUSION Zygoma implants can reliably anchor the midfacial maxillary prostheses and enable a quality of life comparable with autologous maxillary reconstruction. They can be replaced immediately if local infection or loosening should occur. A premolar and canine position reduce leverage when no anterior alveolar process is present. The patient can alternatively be provided with dental implants.
Video Object Segmentation by Fusion of Spatio-Temporal Information Based on Gaussian Mixture Model

In the field of surveillance, Effective and rapid video object segmentation is a key technologies for video analysis and processing. For the complex scene and noise that affecting segmentation issue in the fixed occasion. On the base of classic and adaptive Gaussian Mixture Background Model presented by Stauffer. In this paper, A new algorithm named the fusion of Spatio-Temporal based on Gaussian Mixture Model is proposed for video object segmentation. The algorithm classifies for each pixel in Time and Space scales. Firstly, the algorithm constructs dynamically Gaussian Mixture Background Model for each pixel and segment foreground objects through background subtraction. Secondly, the algorithm detects synchronously the neighborhood statistic feature of each pixel through two lemmas. Finally, producing a result using the spatial segmentation coupling with the temporal segmentation by “and” operator. Experiments show that the algorithm can segment the moving object effectively and quickly from video sequences and has stronger robustness application prospect contrasted with other algorithms.
Numerical Modeling of Eccentered LWD Borehole Sensors in Dipping and Fully Anisotropic Earth Formations

Logging-while-drilling (LWD) borehole sensors are used to provide real-time resistivity data of adjacent earth formations for hydrocarbon exploration. This allows for a proactive adjustment of the dipping angle and azimuth direction of the drill and, hence, geosteering capabilities. The analysis of borehole eccentricity effects on LWD sensor response in full 3 3 anisotropic earth formations is important for correct data interpretation in deviated or horizontal wells. In this paper, we present a cylindrical-grid finite-difference time-domain model to tackle this problem. The grid is aligned to the sensor axis to avoid staircasing error in the sensor geometry but, in general, misaligned to the (eccentered) borehole/formation interface. A locally conformal discretization is used to compute effective conductivity tensors of partially-filled grid cells at those interfaces, involving an isotropic medium (borehole) and a full 3 3 anisotropic medium in general (dipped earth formation). The numerical model is used to compute the response of eccentered LWD sensors in layered earth formations with anisotropic dipping beds.
Spanish monetary policy: A structural VAR analysis

Some past studies analyzed Spanish monetary policy with the standard VAR. Their problem is that this method obliges researchers to impose a certain extreme form of the short run policy rule on their models. Hence, it does not allow researchers to study the possibility of structural changes in this rule, either. This paper overcomes these problems by using the structural VAR. I find that the rule has always been that of partial accommodation. Prior to 1984, it was quite close to money targeting. After 1984, it became closer to the interest rate targeting, with more emphasis on the exchange rate.
Autonomous algorithms for image restoration

We describe a general theoretical framework for algorithms that adaptively tune all their parameters during the restoration of a noisy image. The adaptation procedure is based on a mean field approach which is known as ``Deterministic Annealing'', and is reminiscent of the ``Deterministic Bolzmann Machine'. The algorithm is less time consuming in comparison with its simulated annealing alternative. We apply the theory to several architectures and compare their performances.
Trade Elasticity of Substitution and Equilibrium Dynamics

The empirical literature provides a wide range of estimates for trade elasticities at the aggregate level. Furthermore, recent contributions in international macroeconomics suggest that low (implied) values of the trade elasticity of substitution may play an important role in understanding the disconnect between international prices and real variables. However, a standard model of the international business cycle displays multiple locally isolated equilibria if the trade elasticity of substitution is sufficiently low. The main contribution of this paper is to compute and characterize some dynamic properties of these equilibria. While multiple steady states clearly signal equilibrium multiplicity in the dynamic setup, this is not a necessary condition. Solutions based on log-linearization around a deterministic steady state are of limited to no help in computing the true dynamics. However, the log-linear solution can hint at the presence of multiple dynamic equilibria.
A Two-Period Newsvendor Setting with Product Extension and Shifting Demand Concerns

The objective of this study is to optimize an overall expected profit in a two-period newsvendor setting by jointly determining these two items' order sizes and selling prices. The item in the second period is a product extension of the item in the first period. An inadequate inventory is intentionally placed in the first period in order to stimulate more sales in the second period. The first item's unsatisfied demand is assumed to be transferred to the second selling period with a certain shifting demand rate. The two items' stochastic demand is assumed to be in a linear-additive form consisting of a deterministic demand and an error demand that is exponentially distributed. Including the classical newsvendor model as a special case, we first propose a pertinent model that overshadows the classical newsvendor setting in terms of profit performances, and surprisingly find that the first item's error demand should be completely sacrificed when facing a high shifting demand rate. Afterwards, we modify the model to identify that our inadequate stock strategy is indeed practicable, and then extend the model to predetermine the two items' selling prices that ensure the existence of maximum of the expected profit. Possible triggered effects, such as an increasing primary demand, an increasing error demand and a cheaper purchasing cost in the second period, are also illustrated by examples.
A comparative analysis of progressive multiple sequence alignment approaches using UPGMA and neighbor joining based guide trees

Multiple sequence alignment is increasingly important to bioinformatics, with several applications ranging from phylogenetic analyses to domain identification. There are several ways to perform multiple sequence alignment, an important way of which is the progressive alignment approach studied in this work. Progressive alignment involves three steps: find the distance between each pair of sequences; construct a guide tree based on the distance matrix; finally based on the guide tree align sequences using the concept of aligned profiles. Our contribution is in comparing two main methods of guide tree construction in terms of both efficiency and accuracy of the overall alignment: UPGMA and Neighbor Join methods. Our experimental results indicate that the Neighbor Join method is both more efficient in terms of performance and more accurate in terms of overall cost minimization.
Phenotypic and Molecular Alterations in the Mammary Tissue of R-Spondin1 Knock-Out Mice during Pregnancy

R-spondin1 (Rspo1) is a member of a secreted protein family which has pleiotropic functions in development and stem cell growth. Rspo1 knock-out mice are sex-reversed, but some remain sub-fertile, so they fail to nurse their pups. A lack of Rspo1 expression in the mammary gland results in an absence of duct side-branching development and defective alveolar formation. The aim of this study was to characterize the phenotypic and molecular alterations of mammary gland due to Rspo1 knock-out. Using the transcriptional profiling of mammary tissues, we identified misregulated genes in the mammary gland of Rspo1 knock-out mice during pregnancy. A stronger expression of mesenchymal markers was observed, without modifications to the structure of mammary epithelial tissue. Mammary epithelial cell immunohistochemical analysis revealed a persistence of virgin markers, which signify a delay in cell differentiation. Moreover, serial transplantation experiments showed that Rspo1 is associated with a regenerative potential of mammary epithelial cell control. Our finding also highlights the negatively regulated expression of Rspo1’s partners, Lgr4 and RNF43, in the mammary gland during pregnancy. Moreover, we offer evidence that Tgf-β signalling is modified in the absence of Rspo1. Taken together, our results show an abrupt halt or delay to mammary development during pregnancy due to the loss of a further differentiated function.
A Decision Tree Based Recommender System

A new method for decision-tree-based recommender systems is proposed. The proposed method includes two new major innovations. First, the decision tree produces lists of recommended items at its leaf nodes, instead of single items. This leads to reduced amount of search, when using the tree to compile a recommendation list for a user and consequently enables a scaling of the recommendation system. The second major contribution of the paper is the splitting method for constructing the decision tree. Splitting is based on a new criterion the least probable intersection size. The new criterion computes the probability for getting the intersection for each potential split in a random split and selects the split that generates the least probable size of intersection. The proposed decision tree based recommendation system was evaluated on a large sample of the MovieLens dataset and is shown to outperform the quality of recommendations produced by the well known information gain splitting criterion.
Fair Design of Plug-in Electric Vehicles Aggregator for V2G Regulation

Plug-in electric vehicles (PEVs) have recently attracted much attention due to their potential to reduce CO2 emissions and transportation costs and can be grouped into entities (aggregators) to provide ancillary services such as frequency regulation. In this paper, the application of aggregators to frequency regulation by making fair use of their energy storage capacity is addressed. When the power grid requires frequency regulation service to the aggregator to adjust the grid frequency, the PEVs participating in providing the service can either draw energy (as it is usually done to charge the vehicle) or deliver energy to the grid by means of the vehicle-to-grid (V2G) interface. Under the general framework of optimizing the aggregator profit, different methods, such as state-dependent allocation and the water-filling approach, are proposed to achieve a final state of charge (SOC) of the PEVs that satisfy the desired fairness criteria once the regulation service has been carried out.
Computationally augmented visual & spatial design

Current design methodologies take advantage of the possibilities of programmatic aids, but do so with an unfortunate rift between the use of design and computation. This thesis explores the possibilities of integrating computation into visual and spatial design through a merging of processes and a combining of programmer and designer. A series of experiments were conducted in which computation played varying parts during the creative process of deriving form, font, object, and space. Thesis Supervisor: Peter Testa Title: Associate Professor, Department of Architecture
Microscopic analysis of document handling while reading: Classification of behavior toward paper document

We conducted a microscopic analysis of work-related reading to find ways to support reading in the workplace. We obtained empirical data from video recording, concurrent verbal reporting, and retrospective reporting of 18 participants in 10 target types of reading using paper. Using these data, we categorized the ways people interact with paper while reading in detail. We will discuss what kinds of support are required for work-related reading.
An Approach to Proper Name Tagging for German

This paper presents an incremental method for the tagging of proper names in German newspaper texts. The tagging is performed by the analysis of the syntactic and textual contexts of proper names together with a morphological analysis. The proper names selected by this process supply new contexts which can be used for finding new proper names, and so on. This procedure was applied to a small German corpus (50,000 words) and correctly disambiguated 65% of the capitalized words, which should improve when it is applied to a very large corpus.
A Virtual Instruction Set Interface for Operating System Kernels

In this paper, we propose and evaluate a virtual instruction set interface between an operating system (OS) kernel and a general purpose processor architecture. This interface is a set of operations added to a previously proposed virtual instruction set architecture called LLVA (Low Level Virtual Architecture) and can be implemented on existing processor hardware. The long-term benefits of such an interface include richer OS-information for hardware, greater flexibility in evolving hardware, and sophisticated analysis and optimization capabilities for kernel code, including across the application-kernel boundary transformations. Our interface design (LLVA-OS) contains several novel features for machine-independence and performance, including efficient saving and restoring of (hidden) native state, mechanisms for error recovery, and several primitive abstractions that expose semantic information to the underlying translator and hardware. We describe the design, a prototype implementation of LLVA-OS on x86, and our experience porting the Linux 2.4. 22 kernel to LLVA-OS. We perform a performance evaluation of this kernel, identifying and explaining the root causes of key sources of virtualization overhead.
The pragmatic web: addressing complex communication in public administration using tailored delivery

Public administrations must communicate with a diverse citizenry concerning complex programs and initiatives. Because producing individual communications for a large citizenry is expensive, the communications are written generically, carefully discussing all possible contingencies and details. Because the programs are complex, these generic communications are difficult to understand. One way to communicate more effectively in this complex environment is to automatically tailor each communication based on the context of each individual citizen. This paper presents a prototype system that produces web presentations describing the programs offered by a public administration agency to the citizenry it serves. The work is presented as an example of work on the pragmatic web. Particular attention is focused on the system's authoring tool, which allows authors to produce and configure the resources required to drive the tailoring mechanism.
Random Walk with Pre-filtering for Social Link Prediction

The prosperity of content-oriented social media services has raised the new chances for understanding users' social behaviors. Different from traditional social networks, the links in social media are usually influenced by user references rather than the real world connections, thus the traditional methods based on social network evolvement may fail to reveal the adequate links. Meanwhile, the existing link prediction algorithms considering both social topology and nodes attributes might be too much computationally complex. To deal with these challenges, in this paper, we propose a two steps link prediction framework, in which a filter is functioned to select the candidates firstly, and then the adapted Supervised Random Walk (SRW) is executed to rank the candidates for prediction. Experiments on the real world data set of social media indicate that our framework could effectively and efficiently predict the appropriate links, which outperforms the baselines including ordinary SRW with acceptable margin.
Formation Control With Size Scaling Via a Complex Laplacian-Based Approach

We consider the control of formations of a leader-follower network, where the objective is to steer a team of multiple mobile agents into a formation of variable size. We assume that the shape description of the formation is known to all the agents, which is captured by a complex-valued Laplacian associated with the sensing graph, but the size scaling of the formation is not known or only known to two agents, called the leaders in the network. A distributed linear control strategy is developed in this paper such that the agents converge to the desired formation shape, for which the size of the formation is determined by the two leaders. Moreover, in order to make all agents in a formation move with a common velocity, the distributed control law also incorporates a velocity consensus component, which is implemented with the help of a communication network that may, in general, be of different topology from the sensing graph. Both the setup of single-integrator kinematics and the one of double-integrator dynamics are addressed in the same framework except that the acceleration control in the double-integrator setup has an extra damping term.
An update on ADHD neuroimaging research

Since the publication of a critical review on ADHD neuroimaging in a past issue of this journal (Leo and Cohen, 2003), several relevant studies have appeared, including one study that had a subgroup of unmedicated ADHD children (Sowell, Thompson, Welcome, Henkenius, Toga, and Peterson, 2003). In this update to our earlier review we comment on this last study's failure to report on the crucial comparison between unmedicated and medicated ADHD subjects. The issue of prior medication exposure in ADHD subjects constitutes a serious confound in this body of research, and still continues to be dismissed and willfully obscured by researchers in this field.
A hybrid approach of virtual force and A∗ search algorithm for UAV path re-planning

This article is concerned with the UAV path re-planning problem to be solved by using a novel approach based on the hybrid of virtual force and A∗ search algorithm (HVFA). The formulation of the UAV path re-planning is presented, and the hybrid system model of virtual force (VF) is given. The scheme of path re-planning is designed and the corresponding computational complexity is analyzed quantitatively. Simulation results prove the feasibility and usefulness of using HVFA for UAV path re-planning. Performance comparisons between the HVFA method and the fuzzy virtual force (FVF) method demonstrate that the proposed approach is fast enough to meet the real-time requirements of the online path planning problems.
A KIND OF ROUTING MODEL IN PEER-TO-PEER NETWORK BASED ON SUCCESSFUL ACCESSING RATE 1

The peer-to-peer network is based on location mechanism of distributed objects, which is conducive to sharing of resources among users. The commonly using overlay network topology method based on interesting group in the existing peer-to-peer network should be accomplished collaboratively by users, which increases system traffic and occupies large bandwidth. The paper brought out a kind of routing model in peer-to-peer network based on Successful Accessing Rate (SAR). The model organizes user group based on SAR and conducting resource searching in the high-low order of SAR. In the model, each node runs independently, which decrease system maintenance cost and provides new idea to solve free-rider problem. Simulation results show that the model effectively improve recall rate of system and also solve fairness problem.
Indexing research: an approach to grounding ingarden's ontological framework

Attempts to produce an adequate and long-lived subject indexing system for information systems research have failed. In this paper we seek to address this by proposing an approach by which the terms expressed in research literature, such as those in the information systems literature, can be systematically and meaningfully categorised. The approach is significant in that it draws upon rigorous and philosophically compatible bodies of work in two areas. Firstly, we draw on work addressing the nature, existence, and categorisation of literary expression found in research papers (Roman Ingarden’s ontological analysis of the scientific work of art). Secondly, we draw from qualitative research methods addressing how meaningful categories can be analysed from text and related to each other (grounded theory). The resulting approach has the potential to be applied in many scientific disciplines beyond information systems, and to form the intellectual core of an information tool in e-research.