Miracle-dz/UniFAR-FTUs huggingface dataset:
Use of Internet Viral Marketing to Promote Smoke-Free Lifestyles among Chinese Adolescents

Purpose Youth smoking is a global public health concern. Health educators are increasingly using Internet-based technologies, but the effectiveness of Internet viral marketing in promoting health remains uncertain. This prospective pilot study assessed the efficacy of an online game-based viral marketing campaign in promoting a smoke-free attitude among Chinese adolescents. Methods One hundred and twenty-one Hong Kong Chinese adolescents aged 10 to 24 were invited to participate in an online multiple-choice quiz game competition designed to deliver tobacco-related health information. Participants were encouraged to refer others to join. A zero-inflated negative binomial model was used to explore the factors contributing to the referral process. Latent transition analysis utilising a pre- and post-game survey was used to detect attitudinal changes toward smoking. Results The number of participants increased almost eightfold from 121 to 928 (34.6% current or ex-smokers) during the 22-day campaign. Participants exhibited significant attitudinal change, with 73% holding negative attitudes toward smoking after the campaign compared to 57% before it. The transition probabilities from positive to negative and neutral to negative attitudes were 0.52 and 0.48, respectively. It was also found that attempting every 20 quiz questions was associated with lower perceived smoking decision in future (OR = 0.95, p-value <0.01). Conclusions Our online game-based viral marketing programme was effective in reaching a large number of smoking and non-smoking participants and changing their attitudes toward smoking. It constitutes a promising practical and cost-effective model for engaging young smokers and promulgating smoking-related health information among Chinese adolescents.
A particle swarm optimization for reactive power and voltage control considering voltage security assessment

Summary form only given, as follows. This paper presents a particle swarm optimization (PSO) for reactive power and voltage control (volt/VAr control: VVC) considering voltage security assessment (VSA). VVC can be formulated as a mixed-integer nonlinear optimization problem (MINLP). The proposed method expands the original PSO to handle a MINLP and determines an online VVC strategy with continuous and discrete control variables such as automatic voltage regulator (AVR) operating values of generators, tap positions of on-load tap changer (OLTC) of transformers, and the number of reactive power compensation equipment. The method considers voltage security using a continuation power now and a contingency analysis technique. The feasibility of the proposed method is demonstrated and compared with reactive tabu search (RTS) and the enumeration method on practical power system models with promising results.
Design and implementation of a support platform for distributed mobile computing

With the rapid development of mobile computer systems and mobile communication infrastructures, a broad field of distributed mobile computing is enabled. The paper first discusses these developments in closer detail and summarizes the resulting requirements concerning adequate software support. An application scenario of the service engineering area illustrates specific aspects including bandwidth and location management, dynamic configuration, resource heterogeneity, disconnection, and security. Based on these considerations, a generic software support platform for distributed mobile computing is derived. It addresses several of these aspects by providing application-independent and reusable support services. In particular, it offers a framework for organizing distributed mobile applications into manageable domains, it equips mobile stations with enhanced functionality for location, resource and bandwidth management, and it uses industry standard RPC communication facilities for enhanced portability. The design, implementation and use of the support platform is illustrated based on a specific part of the application, a mobile multimedia e-mail system. Experiences and implementation aspects in this context are particularly emphasized.
DroidChecker: analyzing android applications for capability leak

While Apple has checked every app available on the App Store, Google takes another approach that allows anyone to publish apps on the Android Market. The openness of the Android Market attracts both benign and malicious developers. The security of the Android platform relies mainly on sandboxing applications and restricting their capabilities such that no application, by default, can perform any operations that would adversely impact other applications, the operating system, or the user. However, a recent research reported that a genuine but vulnerable application may leak its capabilities to other applications. When being leveraged, other applications can gain extra capabilities which they are not granted originally. We present DroidChecker, an Android application analyzing tool which searches for the aforementioned vulnerability in Android applications. DroidChecker uses interprocedural control flow graph searching and static taint checking to detect exploitable data paths in an Android application. We analyzed more than 1100 Android applications using DroidChecker and found 6 previously unknown vulnerable applications including the re-nowned Adobe Photoshop Express application. We have also developed a malicious application that exploits the previously unknown vulnerability found in the Adobe Photoshop Express application. We show that the malicious application, which is not granted any permissions, can access contacts on the phone with just a few lines of code.
Tcs Technical Report Generating Frequent Closed Item Sets Based on Zero-suppressed Bdds Generating Frequent Closed Item Sets Based on Zero-suppressed Bdds

(Abstract) Frequent item set mining is one of the fundamental techniques for knowledge discovery and data mining. In the last decade, a number of efficient algorithms for frequent item set mining have been presented, but most of them focused on just enumerating the item set patterns which satisfy the given conditions, and it was a different matter how to store and index the result of patterns for efficient data analysis. Recently, we proposed a fast algorithm of extracting all frequent item set patterns from transaction databases and simultaneously indexing the result of huge patterns using Zero-suppressed BDDs (ZBDDs). That method, ZBDD-growth, is not only enumerating/listing the patterns efficiently, but also indexing the output data compactly on the memory to be analyzed with various algebraic operations. In this paper, we present a variation of ZBDD-growth algorithm to generate frequent closed item sets. This is a quite simple modification of ZBDD-growth, and additional computation cost is relatively small compared with the original algorithm for generating all patterns. Our method can conveniently be utilized in the environment of ZBDD-based pattern indexing.
A PROFESSIONAL JUDGMENT APPROACH TO SCHOOL FINANCE ADEQUACY IN KENTUCKY

The method for assisting navigation of the invention uses a documentary management system including a processor associated with memories containing at least the stored image of a map of the region traversed by the vehicle and information relating to a multiplicity of objects localized in said region, this information being divided into sets of objects having their own exploitation means. This method includes the acquisition of the position of the vehicle, the introduction of the trajectory to be crossed from this position, the displaying of a geographical zone including said position and one significant portion of the trajectory to be travelled through, the displaying of a symbol representative of the vehicle, the selection by the operator of a set of objects, the selection by the system of the information of this set relating to the localized objects in said zone, the display by overprinting of the symbols thus selected, the selection by the operator of one of said sets and activation of the exploitation means associated with this set Application is in particular to civil and commercial aviation.
Review on Speech Recognition System for Indian Languages

recognition system is a natural way for the interaction of human to machine. Automatic Speech Recognition is advance way to operate computer without much efforts through speech only. In this paper survey related to indo Aryan languages usage for communicating directly with the machine has been performed. This mechanism includes various techniques and experimental results. Speech Recognition system is implemented for English, French, Spanish, German, Japanese and Chinese. Only little work has been performed for Indo-Indian languages like Gujarati, Marathi, Hindi, Tamil etc. Speech to Text is an emerging research area due to complexity and various frameworks of Indo-Aryan languages. KeywordsRecognition, Gujarati, Indo-Aryan language, Speaker Independent.
Cortical Learning Algorithms with Predictive Coding for a Systems-Level Cognitive Architecture

Human-level intelligent agents must autonomously navigate complex, dynamic, uncertain environments with bounded time and memory. This requires that they continually update a hierarchical, dynamic, probabilistic (uncertain) internal model of their current situation, via approximate Bayesian inference, incorporating both the sensory data and a generative model of its causes. Such modeling requires suitable representation at multiple levels of abstraction from the subsymbolic, sensory level to the most abstract conceptual representation. To guide our approach, we identify principles for perceptual representation, perceptual inference, and the associated learning processes. Based on these principles, a predictive coding extension to the HTM Cortical Learning Algorithms (CLA), termed PC-CLA, is proposed as a foundational building block for the systems-level LIDA cognitive architecture. PC-CLA fleshes out LIDA’s internal representations, memory, learning and attentional processes; and takes an initial step towards the comprehensive use of distributed and probabilistic (uncertain) representation throughout the architecture.
QUANTIZED FEEDBACK CONTROL FOR SAMPLED-DATA SYSTEMS

Abstract This paper studies the problem of quantized feedback control for sampled-data systems which employ a quantizer to transmit feedback signals at a given sampling rate. The so-called static (memoryless) quantizers are considered. Given a continuous-time system, the design objective is to stabilize the system or to achieve certain performance using the coarsest quantization density. We study the possible advantages of over-sampling where the input/output signals of the system are sampled at a faster rate than the quantizer. Our first result is for stabilization, and it shows that the coarsest quantization density achievable using quantized state feedback can be generically achieved using output feedback with any over-sampling ratio. Our second result provides a solution to the quantized feedback H ∞ problem for both with and without over-sampling.
O Scientist, Where Art Thou? Affiliation Propagation for Geo-Referencing Scientific Publications

Today, electronic scholarly articles are available freely at the point of use. Moreover, bibliographic systems such as DBLP, ACM’s Digital Libraries, Google’s Scholar, and Microsoft’s AcademicSearch provide means to search and analyze bibliographic information. However, one important information is typically incomplete, wrong, or even missing: the affiliation of authors. This type of information can be valuable not only for finding and tracking scientists using map interfaces but also for automatic detection of conflict of interests and, in aggregate form, for helping to understand topics and trends in science at global scale. In this work-in-progress report, we consider the problem of retrieving affiliations from few observed affiliations only. Specifically, we crawl ACM’s Digital Libraries for affiliations of authors listed in DBLP. Then, we employ multi-label propagation to propagate the few observed affiliations through out a network induced by a Markov logic network on DBLP entries. We use the propagated affiliations to create a visualization tool, PubMap, that can help expose the affiliations, using a map interface to display the propagated affiliations. Furthermore, we motivate how the information about affiliations can be used in publication summarization.
Effects of perceived service fairness on emotions, and behavioral intentions in restaurants

Purpose – This study aims to investigate interrelationships among perceived service fairness, emotions and behavioral intentions in a restaurant context.Design/methodology/approach – Data were collected from two casual dining restaurants in the USA. The data were analyzed following Anderson and Gerbing's two‐step approach, utilizing both a measurement model and a subsequent structural model.Findings – This study shows different roles for each fairness perception in relation to emotions and behavioral intentions based on the Mehrabian‐Russell model. Setting reasonable prices and providing efficient services in a timely manner were found to be the key to negate negative emotion. At the same time, the findings suggest that providing high‐quality tangible outcomes and intangible services are critical to evoke positive emotions and eventually to generate future favorable behaviors.Research limitations/implications – The data were collected from only casual dining restaurants. Therefore, generalizing the result.
Multiscale representation of terrain models using average interpolating wavelets

Average interpolating wavelets are used to construct multilevel representations of large data sets. The data is partitioned into disjoint blocks, and each block is transformed separately. Properties of wavelet coe cients guarantees that this partitioning does not introduce arti cial boundary e ects. Coe cients are organized in a data structure that is well suited for real-time visualization with zoom functionality.
Myosins Are Differentially Expressed under Oxidative Stress in Chronic Streptozotocin-Induced Diabetic Rat Brains

Diabetes mellitus is a disease characterized by persistent hyperglycemia, which may lead to brain tissue damage due to oxidative stress and also contributes to neuronal death and changes in synaptic transmission. This study evaluated the effect of oxidative stress and the use of antioxidants supplementation on myosins expression levels in the brains of chronic diabetic rats induced by streptozotocin. Lipid peroxidation, antioxidant enzymes activities, and myosins-IIB and -Va expressions at transcriptional and translational levels were examined after 90 days induction. The chronic effect of the diabetes led to the upregulation of superoxide dismutase (SOD) and catalase (CAT) activities, and the downregulation of glutathione peroxidase (GPx), but there was no statistically significant increase in the malondialdehyde (MDA) levels. These alterations were accompanied by high myosin-IIB and low myosin-Va expressions. Although the antioxidant supplementation did not interfere on MDA levels, the oxidative stress caused by chronic hyperglycemia was reduced by increasing SOD and restoring CAT and GPx activities. Interestingly, after supplementation, diabetic rats recovered only myosin-Va protein levels, without interfering on myosins mRNA levels expressed in diabetic rat brains. Our results suggest that antioxidant supplementation reduces oxidative stress and also regulates the myosins protein expression, which should be beneficial to individuals with diabetes/chronic hyperglycemia.
Continues target tracking based on NCC and Kalman algorithm

When we use Kalman tracking algorithm to track objects, the tracker will fail if the object tends to stopping. This paper proposed a template matching method based on NCC and Kalman tracking algorithm that solved this problem. We save the template and center point of the last frame, when the object stops or tends to be static then we can use the saved template and center point to search the object in the nearby area, then we can get the actual position of the object we are tracking. The experimental results showed that: the proposed method can keep tracking the target by switching to the improved NCC template matching algorithm when the target tends to stop, also we attain the higher tracking accuracy and smaller center of errors than Meanshift by getting the most matching region.
Mass customization manufacturing solution for cell phone production

Mass customization becomes a main production mode of the 21st century. This paper mainly proposes a kind of mass customization manufacturing solution, which has been applied into cell phone production successfully. Firstly, the cell phone production process is introduced. Then, the solution's production modes, namely, the four main phases (Marketing, R&D, Production, and Purchasing), the order processing, and MES architecture, are described. The results of mass customization, especially on the order and quality, are given out. Finally, conclusions are drawn out.
The Rise and Fall of Swedish Wealth Taxation

Abstract We study the evolution of modern Swedish wealth taxation from its introduction in**1911 until it was abolished in 2007. The rules concerning valuation of assets, deductions/exemptions and tax schedules to characterize effective wealth tax schedules are described. These rules and schedules are used to calculate marginal and average wealth tax rates for three differently endowed owners of family firms and individual fortunes corresponding to a large, medium-sized and small firm. The overall trend in the direct wealth tax was rising until 1971 for owners of large and medium-sized firms and for individuals of equally-sized wealth consisting of non-corporate assets. Average direct wealth tax rates were low until 1934, except for 1913 when a progressive defense tax was levied. There were three major tax hikes: in 1934, when the wealth tax was more than doubled, in 1948 when tax rates were doubled again and in 1971 for owners of large firms and similarly sized non-corporate fortunes. Effective tax rates peaked in 1973 for owners of large firms and in 1983 for individuals with large non-corporate wealth. Reduction rules limited the wealth tax rates from 1934 for fortunes with high wealth/income ratios. The wealth tax on unlisted net business equity was abolished in 1991. Tax rates for wealthy individuals were decreased in 1991 and in 1992 and then remained at 0.5-1 percent through 2006, depending on whether the reduction rule was applicable. Tax rates for small-firm owners and small individual fortunes were substantially lower. Aggregate wealth tax revenues were rela-tively small; they never exceeded 0.4 percent of GDP in the postwar period and amounted to 0.16 percent of GDP in 2006.
Trapping and rotating microparticles and bacteria with moiré-based optical propelling beams

We propose and demonstrate trapping and rotation of microparticles and biological samples with a moiré-based rotating optical tweezers. We show that polystyrene beads, as well as Escherichia coli cells, can be rotated with ease, while the speed and direction of rotation are fully controllable by a computer, obviating mechanical movement or phase-sensitive interference. Furthermore, we demonstrate experimentally the generation of white-light propelling beams and arrays, and discuss the possibility of optical tweezing and particle micro-manipulation based on incoherent white-light rotating patterns.
Biometric Fuzzy Extractor Scheme for Iris Templates

In: The 2009 World Congress in Computer Science, Computer Engineering, and Applied Computing (WORLDCOMP'09), The 2009 International Conference on Security and Management (SAM'09), Vol II, Proceedings 563--569. H.R. Arabnia and K. Daimi (Eds.), Las Vegas (USA), July, 2009
Query exhaustivity, relevance feedback and search success in automatic and interactive query expansion

This study explored how the expression of search facets and relevance feedback (RF) by users was related to search success in interactive and automatic query expansion in the course of the search process. Search success was measured both in the number of relevant documents retrieved, whether identified by users or not. Research design consisted of 26 users searching for four TREC topics in Okapi IR system, half of the searchers using interactive and half automatic query expansion based on RF. The search logs were recorded, and the users filled in questionnaires for each topic concerning various features of searching. The results showed that the exhaustivity of the query was the most significant predictor of search success. Interactive expansion led to better search success than automatic expansion if all retrieved relevant items were counted, but there was no difference between the methods if only those items recognised relevant by users were observed. The analysis showed that the difference was facilitated by the liberal relevance criterion used in TREC not favouring highly relevant documents in evaluation.
Interactions between branched DNAs and peptide inhibitors of DNA repair

The RecG helicase of Escherichia coli unwinds both Holliday junction (HJ) and replication fork DNA substrates. Our lab previously identified and characterized peptides (WRWYCR and KWWCRW) that block the activity of RecG on these substrates. We determined that the peptides bind HJ DNA and prevent the binding of RecG. Herein, we present further evidence that the peptides are competitive inhibitors of RecG binding to its substrates. We have generated structural models of interactions between WRWYCR and a junction substrate. Using the fluorescent probe 2-aminopurine, we show that inhibitors interact with highest affinity with HJs (Kd = 14 nM) and ∼4- to 9-fold more weakly with replication fork substrates. The fluorescence assay results agree with the structural model, and predict the molecular basis for interactions between HJ-trapping peptides and branched DNA molecules. Specifically, aromatic amino acids in the peptides stack with bases at the center of the DNA substrates. These interactions are stabilized by hydrogen bonds to the DNA and by intrapeptide interactions. These peptides inhibit several proteins involved in DNA repair in addition to RecG, have been useful as tools to dissect recombination, and possess antibiotic activity. Greater understanding of the peptides’ mechanism of action will further increase their utility.
Millimeter-wavelength forward-model comparisons based on ground-based radiometric data taken during the 1999 NSA radiometric experiment

Based on radiometric and radiosonde observations made at the North Slope of Alaska, during March 1991, comparisons of measured and calculated brightness temperatures are made for frequencies ranging from 23.8 to 340 GHz. Three clean air absorption models of Liebe (1987 and 1993) and Rosenkranz (1998) are used.