Miracle-dz/UniFAR-FTUs huggingface dataset:
Mandibular Second Molar Protraction with Temporary Anchorage Devices–A Case Report

Edentulous spaces can be closed with dental implants, prosthesis, and orthodontic space closure. As mandibular bone is dense, protraction of molars is time taking and challenging. Temporary anchorage devices play a vital role in providing anchorage. Translation of molars can be achieved with power arms which are placed near to the centre of resistance. This is a case with bilaterally missing mandibular first molars and lower central incisor. Ridge defect is seen in molar region on right side. Class II molar relation was achieved bilaterally with second molar moving into first molar space followed by the third molar. Translation was achieved bilaterally and 10mm of space closure was done with the help of TAD’s and power arms.
A PSO Based VM Resource Scheduling Model for Cloud Computing

Cloud computing, a new paradigm for utility computing, has brought a revolutionary change in the IT industry by enabling the elastic on demand resource provisioning of computing resources. As cloud infrastructure heavily relies on virtualization technology, there is a need for an efficient and effective virtual machine scheduling strategy. Virtual machine scheduling problem can be defined as an allocation of a set of virtual machines (VMs) to a set of physical machines (PMs). The proposed work focuses on PSO based VM scheduling strategy for VM placement in cloud infrastructure. The strategy focuses on efficient VM allocation to physical servers in order to minimize the total resource wastage and the number of servers used. Simulation experiments were conducted to observe the allocation of VMs to the servers and to evaluate the proposed algorithm with respect to performance and scalability. The results are compared with Best-Fit, First-Fit and Worst-Fit placement strategies. Simulation study conducted to evaluate the performance reveals the effectiveness of the model.
Two-step pedestrian searching method based on Lab color space

As urbanization keeps accelerating in China, video surveillance and image processing technology have been applied to many fields. Since policeman often fail to find their suspector in huge video information with high pedestrian volume especially in malls and at subway stations, pedestrian recognition can reduce time cost when we need to find a specific person. We utilize temporal difference and mathematical morphology to extract objects and denoise them in the video material, analyzing color and texture features through Lab color space. Therefore, we can filter most irrelevant objects efficiently only with a photo or main color of the lost person provided.
The Age of Cyberpolitics: Internet Campaigning in a Modern, Youth-Friendly World

Modern political campaigns have evolved as the Internet has grown in popularity. Almost all campaigns have a candidate website, electronic media and forums that have made the political news cycles change almost instantly, and millions of dollars can be raised for candidates at the click of a mouse button. Nevertheless, is the Internet only affecting the people already involved in the political process—or is it bringing new voters into the polling booths, such as the evercoveted youth vote? This paper examines the political ramifications of the Internet as a form of alternate media using data from the Pew Center, and discovers that despite the media hype, the Internet is not yet a primary tool for campaigns and does not lead to increased political knowledge and activism among Americans and the youth of America.
Seeking Home: Portrait of a Changing Urban Teacher Education Program.

The value of teacher education is being questioned at the same time as schools are facing the challenges of budget shortfalls and unfunded mandates. Efforts to professionalize teaching are being undermined by overly authoritarian control of the curriculum and test-driven reforms. But schools of education do know how to stay the course. This article is a portrait of one teacher education program working with the local community schools to bring about change and to prepare teachers who are culturally competent discipline experts.
States and Regions in the European Union: Institutional Adaptation in Germany and Spain

Introduction 1. Europeanization and domestic institutional change: a historical institutionalist approach 2. Reinforcing cooperative federalism: institutional adaption to Europeanization in Germany 3. Transforming competitive regionalism: institutional adaptation to Europeanization in Spain 4. Sharing versus shifting the costs of adaptation: the Europeanization of environmental policy-making in Germany and Spain Conclusions.
IMPLEMENTATION OF OBJECT ORIENTED APPROACH TO LOWEST-COST ROUTING USING BGP CH

Now a day’s routing mechanism-design point of view, inter domain is problem. To overcome this various researchers proposed different techniques, but still there are issues in this area. To fulfill this, in this paper we propose an approach, which is using an existing protocol as a substrate for distributed computation may prove useful in future development of Internet algorithms generally, not only for routing or pricing problems. Our design and analysis of a strategy proof, BGP-based routing mechanism provides a new, promising direction in distributed algorithmic mechanism design, which has heretofore been focused mainly on multicast cost sharing.
Cloud based emails boundaries and vulnerabilities

Since there is significant increase in adoption of cloud computing, securing users emails is also a growing concern. This paper reviews the boundaries, privacy, vulnerabilities, varying legislations of cloud based emails, and how to mitigate such to provide reliable and secure cloud based email services for users and organizations. We propose a new framework to improve security of cloud based email messages: Intelligent Cloud Based Email Encryption and Decryption System (ICLEEDS). The goal is to encrypt content of email mail messages from users' mail box before being sent. The intelligent machine learning encryption system helps to protect users against email interception, re-construction, phishing attacks, relaying of previous messages, spoofing, eavesdropping and provide high level of privacy.
Hierarchical Interactive Learning for a HUman-Powered Augmentation Lower EXoskeleton

Learning by demonstration methods have gained considerable interest in human-coupled robot control. It aims at modeling the goal motion trajectories through human demonstration. However, in lower exoskeleton control, the physical human-robot interaction is changing from pilot to pilot or even for one pilot in different walking patterns. This characteristic requires that the exoskeletons should have the ability to learn and adapt the motion trajectories as well as controllers online. This paper presents a novel Hierarchical Interactive Learning (HIL) strategy which reduces the complexity of the exoskeleton sensory system and is able to handle varying interaction dynamics. The proposed HIL strategy is composed of two learning hierarchies, namely, high-level motion learning and low-level controller learning. The Dynamic Movement Primitives (DMPs) combined with Locally Weighted Regression (LWR) are employed to model and learn the motion trajectories, while reinforcement learning (RL) is used to learn the model-based controller. We demonstrate the efficiency of proposed HIL strategy on a single degree-of-freedom (DOF) platform as well as a HUman-powered Augmentation Lower EXoskeleton (HUALEX) system. Experimental results indicate that the proposed HIL strategy is able to handle the varying interaction dynamics with less interaction force between the pilot and the exoskeleton when compared to traditional model-based control algorithms.
On the use of recognition in inferential decision making: An overview of the debate

I describe and discuss the sometimes heated controversy surrounding the recognition heuristic (RH) as a model of inferential decision making. After briefly recapitulating the history of the RH up to its current version, I critically evaluate several specific assumptions and predictions of the RH and its surrounding framework: recognition as a memory-based process; the RH as a cognitive process model; proper conditions of testing the RH; measures of using the RH; reasons for not using the RH; the RH as a non-compensatory strategy; evidence for a Less-is-more effect (LIME); and the RH as part of the toolbox. The collection of these controversial issues may help to better understand the debate, to further sharpen the RH theory, and to develop ideas for future research.
Query Routing and Processing in Peer-To-Peer Data Sharing Systems

Sharing musical files via the Internet was the essential motivation of early P2P systems. Despite of the great success of the P2P file sharing systems, these systems support only "simple" queries. The focus in such systems is how to carry out an efficient query routing in order to find the nodes storing a desired file. Recently, several research works have been made to extend P2P systems to be able to share data having a fine granularity (i.e. atomic attribute) and to process queries written with a highly expressive language (i.e. SQL). These works have led to the emergence of P2P data sharing systems that represent a new generation of P2P systems and, on the other hand, a next stage in a long period of the database research area. The characteristics of P2P systems (e.g. large-scale, node autonomy and instability) make impractical to have a global catalog that represents often an essential component in traditional database systems. Usually, such a catalog stores information about data, schemas and data sources. Query routing and processing are two problems affected by the absence of a global catalog. Locating relevant data sources and generating a close to optimal execution plan become more difficult. In this paper, we concentrate our study on proposed solutions for the both problems. Furthermore, selected case studies of main P2P data sharing systems are analyzed and compared.
Mode-coupling in rotating gravitational collapse: Gravitational and electromagnetic perturbations

We consider the late-time evolution of {\it gravitational} and electromagnetic perturbations in realistic {\it rotating} Kerr spacetimes. We give a detailed analysis of the mode-coupling phenomena in rotating gravitational collapse. A consequence of this phenomena is that the late-time tail is dominated by modes which, in general, may have an angular distribution different from the original one. In addition, we show that different types of fields have {\it different} decaying rates. This result turns over the traditional belief (which has been widely accepted during the last three decades) that the late-time tail of gravitational collapse is universal.
On the transmission of bursty sources

Traditionally, the bursty nature of data sources is not taken in consideration by information theory. Random arrival times typically are assumed to be smoothed out by appropriate source coding, rendering any meaningful analysis of the end-to-end delay impossible. On the other hand, network theory directly treats these issues, but over-simplifies the channel model. Particularly, the issues of noise and interference are ignored and no sophisticated coding is allowed. In this paper, we introduce a framework in which some aspects of both sides are incorporated. This results in the formulation of new scheduling problems. In simple settings, we are able to characterize and analyze delay optimal policies
Logistics scheduling based on cloud business workflows

Due to fast development of e-commerce, logistics, network and cloud computing, many businesses have changed their traditional production and sale patterns. This brings big opportunities and challenges to logistics. Among the process of logistics, delivery is a key issue. This paper mainly focuses on logistics scheduling based on cloud business workflows. A constrained Dijkstra algorithm is proposed to select an optimal route for logistics transportation with various parameters. We then put forward a distribution logistics scheduling algorithm to solve tracking large numbers of expresses based on business workflows. The simulation indicates the effectiveness of our two novel algorithms.
An Empirical Analysis of the Liquidity, Solvency and Financial Health of Small and Medium Sized Enterprises in Kisii Municipality, Kenya

Research findings have shown that the liquidity, profitability and solvency position of most Small and Medium Eenterprises (SMEs) are in average position with the causal factors behind this position being unsound financial management, inadequate working capital, slow conversion of receivables and inventory into cash, lower position of sales and higher amount of debt. Therefore, the purpose of this paper was to carry out a Financial diagnosis of the SMEs financial performance by focusing on their liquidity, solvency and profitability positions using ratio analysis. Data for the study covered the period 2009-2011 and was obtained from the financial statements of three SMEs which were purposively sampled from the SMEs operating in Kisii Municipality. The sampled SMEs were those which had financial statements for the years under consideration. Data collected through the analysis of key ratios were analyzed using the mean, standard deviation, coeffifient of variation, Student-t test and through the use of the Altman’s Z-score model. The findings of the study showed that the liquidity position of the SMEs was on average low; their solvency was low and their financial Health was on average not good. Further,the results show that there is a significant impact of current ratio, quick ratio and Debt to Total Assets ratio on Return on Assets (ROA). The results of the study demonstrate that the liquidity position of the SMEs was well below the acceptable global norm of 2 for current ratio and 1 for quick ratio. Further, the results indicated that the financial health of the SMEs needed to be improved hence the recommendation that SMEs make liquidity, solvency management and financial stability an integral driver of their policy frameworks. Key words : Liquidity, Solvency and Financial Health
Psychology and micro-blogging: Self-presentation, social interaction and social culture

Micro-blogging is becoming increasingly prevalent in global world, so is it in China. Researches concerning self-presentational behavior on micro-blog, and how micro-blogging influences social interaction on-line, have found some interesting results. However, existing findings are limited to an unsystematic theoretical background and plain understanding of the interaction between psychology and micro-blogging. This article attempts to review the extant literatures aiming at introducing the research findings, summarizing the contributions, indicating the limitations and proposing the future directions, especially in Chinese context.
Event-related potential responses to alcohol-related stimuli in African-American young adults: relation to family history of alcoholism and drug usage.

AIMS To use event-related potentials (ERPs) to investigate the response to alcohol-related stimuli in African-American young adults. METHODS ERPs to an object recognition task, that included pictures of objects, food and alcohol-related and non-alcohol-related drinks as stimuli, were obtained in 81 African-American young adult men and women (18-25 years old) without a personal history of alcohol dependence. Information on: psychiatric diagnoses, personal drinking and drug use history, and familial history of alcoholism was also obtained. RESULTS Family history was found to be associated with lowered P3 components and higher N1 components in response to the non-alcohol-related drinks. Additionally, an exploratory analyses revealed that lower amplitude N1 components were generated in response to alcohol-related stimuli in regular marijuana users compared with non-regular users. No associations of N1 or P3 amplitudes with conduct disorder symptoms or current drinking status were found in this population. CONCLUSIONS These studies demonstrated that family history is significantly and selectively associated with lower P3 amplitudes in this group of young adult men and women of African-American heritage. Additionally, current usage of marijuana and alcohol do not modify P3 amplitudes. However, regular marijuana use may diminish N1 response to alcohol-related stimuli, whereas, family history of alcoholism may augment N1 responses. Taken together these studies further suggest that ERPs can provide specific information on alcoholism risk as well as use of other misused drugs.
Aspect Based Topic and Opinion Mining

— The proposed system focus on document-level, feature level opinion classification or general domains in conjunction with topic detection and opinion sentiment analysis, based on the semantic label annotation techniques. An additionally ATOM has been suggested. And the proposed system finally identifies whether the semantic orientation of the given text is positive, negative, or neutral. This can detect sentiment and topics simultaneously with active learning paradigm. The objective of the proposed system is providing and clustering data from book review domain using weakly supervised, active leaning and unsupervised learning process. An approach for semantic sentence and feature based clustering based on structured and sentence based clustering technique is the objective. At first the reviews and documents from the book review dataset are clustered in Static method using Active Learning Processing technique combine for opinion detection and identifying the exact topic and opinion has been used, all documents should be pre-processed in the initial stage.
Visualizing Collections of Information by People , Topic , and Time

Most information retrieval systems return a list of results in response to a user query. Many tasks, such as understanding which topics are active or who are the key people associated with topics, can better be addressed with a higher-level summary showing important trends and correlations in information creation and use. We describe the design and evaluation of GridViz, an information visualization that enables users to perform these tasks. GridViz uses a two-dimensional grid to visualize a large information collection by people, topics, and time. Cell entries encode information about the frequency and recency of document activity, including email, files, and shared information on collaborative web sites. In a user study we compared a traditional list view of results with the grid visualization for a variety of information access tasks. Users completed tasks faster with the grid visualization than a standard columnar list-view of the results, but there was no reliable preference for one view over the other.
Non-referral of unnatural deaths to coroners and non-reporting of unnatural deaths on death certificates in Taiwan: implications of using mortality data to monitor quality and safety in healthcare.

BACKGROUND Mortality data has often been used to monitor the quality of cardiac care. OBJECTIVE To investigate the under-reporting of unnatural deaths in mortality data. METHOD All patients with a main discharge diagnosis of injury (ICD-9-CM code 800-999) who died in 2003 or 2004 were identified through record linkage between hospital discharge claims data and cause of death data in Taiwan. Percentages of unnatural deaths that had been referred to the coroner and in which injury-related information was reported on the death certificate were estimated. RESULTS Of 4086 known or suspected unnatural deaths, only 57% (2346/4086) were referred to the coroner, and in 71% (2889/4086) injury-related information was reported on the death certificate. The percentages of referral and reporting were lowest for deaths related to complications in medical and surgical care. In deaths related to fracture of the femur and the effects of a foreign body, many doctors report injury-related information on the death certificate but do not refer the certification of cause of death to the coroner. CONCLUSIONS The sensitivity of using mortality data alone to detect known or suspected unnatural deaths varied according to the types of injury and external causes. Monitoring cause of death data linked with hospital discharge record data could provide a better system for discovering these unnatural deaths.
Resource Allocation Based on Double Auction for Cloud Computing System

Cloud computing is a new commercial model with distributed computing, utility computing, and grid computing. In many situations, both the cloud service providers (CSPs) and cloud service users maximize their earnings. Consequently, how to resolve the resource allocation and determine the transaction pricing between CSPs and users is a big challenge. In this paper, we propose a double auction-based cloud resource allocation and pricing model, which improves the auction efficiency. In this model, the profit of the middle auctioneer is taken into consideration, and a reliability mechanism is added to the model. The price for the CSPs is designed based on the resource price and the reliability index. Finally, a resource allocation algorithm is proposed. Simulation results demonstrate that the proposed algorithm reduces the number of auction rounds, and improves the auction efficiency very well.
The Determinants of Foreign Direct Investment : Swedish Flows of FDI into Eastern and Western Europe

This thesis investigates the determinants of Swedish foreign direct investments to 24 European countries during the period 1998 to 2008 with 2000 and 2008 as sample years. The thesis emphasizes five factors that affect the Swedish FDI flows to these countries, which are grouped into OECD countries and CEE countries (Central and Eastern European Countries). The explanatory variables studied are economic growth, property rights, labor cost and two dummy variables with one targeting whether the country is culturally affiliated with Sweden and the other is dealing with whether that country is an OECD country or not. We use multiple regressions to find out to what extent each of these variables can explain the variance of FDI during the years 2000 and 2008. The coefficient estimates show the expected sign in the relationship between FDI and the various explanatory variables, with the exception of labor cost but only OECD membership shows a significant relationship to FDI (and only when using 2000 data).
Multimodal integration patterns in children

Multimodal interfaces are designed with a focus on flexibility, although very few multimodal systems currently are capable of adapting to major sources of user or environmental variation. The development of adaptive multimodal processing techniques will require empirical guidance on modeling key aspects of individual differences. In the present study, we collected data from 24 7-to-10-year-old children as they interacted using speech and pen input with an educational software prototype. A comprehensive analysis of children’s multimodal integration patterns revealed that they were classifiable as either simultaneous or sequential integrators, although they more often integrated signals simultaneously than adults. During their sequential constructions, intermodal lags also ranged faster than those of adult users. The high degree of consistency and early predictability of children’s integration patterns were similar to previously reported adult data. These results have implications for the development of temporal thresholds and adaptive multimodal processing strategies for children’s applications. The long-term goal of this research is life-span modeling of users’ integration and synchronization patterns, which will be needed to design future high-performance adaptive multimodal systems.