Miracle-dz/UniFAR-FTUs huggingface dataset:
A touch based interactive realbook system with SURF algorithm

Electronic book is usually used for users who want to read the text book with multimedia contents like video and audio. Many electronic books have been proposed with new interactive technologies such as spectacular multimedia effect, but these books lack in analog sensitivity and have only one way-based information interaction, and consequently those are inefficient for users. To solve the problem, in this paper, we propose a touch based interactive electronic-book; named RealBook, which can improve the interaction skill of the conventional electronic books by applying computer vision technology with SURF algorithm. Our method can use analog sensitivity and fuse digital effects by using user-centric gestures recognition skill. In the near future, we will develop a more unique and interesting system by introducing various gestures for the interaction.
Retried Logic for Representing First Order Temporal Constraints

The representation of, and reasoning about time play an important role in any intelligent activities. In this paper, we propose an ontology for representing quantitative first order temporal constraints. This logic that we propose in this paper uses instant and interval structures as primitives and has the expressive power of the popular temporal logics of Shoham’s [9] and BTK’s [4]. The advantage of our logic is that it uses the syntactic structures that explicitly implements the semantics of the temporal structures, such as, true throughout an interval (tt), or true at a point (at). Therefore, developing efficient inference rules and proof procedures for this logic is relatively easy. This paper is organized as the following: In section 2, we introduce the representation of temporal knowledge. In section 3 we introduce our temporal constraint language providing its syntax and semantics. The paper is concluded with a summary and a discussion in section 4.
Device-Free Indoor Localization Based on Ambient FM Radio Signals

This paper presents the concept of device-free indoor localization using only a passive receiver and ambient FM radio signals. Experimental results based on empirical measurements demonstrate the feasibility of the proposed approach. The authors also evaluate fine-grained localization performance of the system, its temporal stability, and highlight the role of frequency diversity for passive localization.
Spatial Density Network Voronoi Diagram

A new concept of spatial density network Voronoi diagram was proposed base of spatial density Voronoi dia- gram. And a discrete construction algorithm for spatial density network Voronoi diagram was presented. Results Spatial density can be used to indicate factors related to density such as conveyance and the traffic conditions. Some properties of spatial density network Voronoi diagram were also introduced. In accordance with discrete construction method, achieved the construction of spatial density network Voronoi diagram. Spatial density network Voronoi diagram is a developed density Voronoi diagram. It both perfected the theory about Voronoi diagrams, and extended the range of applications of Voronoi diagrams. So the study of spatial density Voronoi diagram is of great importance both in theory and practice.
Millennials and Public Service Motivation: Findings from A Survey of Master's Degree Students

This paper used a sample of 194 students at public service graduate schools in the United States to compare Millennial students with Generation X students on public service motivation and its antecedents, prosocial behaviors, perceptions of the three sectors, and career plans. It found few differences between Millennial and Generation X students. Millennials reported higher levels of parental education and more volunteer work in college, but were less involved in religion and politics than older students. There were few differences in the generations’ opinions of the non-profit and public sectors. While scholars have found differences between Millennials and older generations in the general population, this survey shows that there are few differences between Generation X and Millennial students who choose to pursue a Master's degree in a public service career.
Assessing Competition on the Russian University Market Using a Modified Panzar-Rosse Model

This paper reviews some government policy measures aimed at strengthening competition in the Russian university market and looks at the best international practices in this area. It analyzes the competitive behavior of universities under the current government policy on higher education and research and development and suggests an approach to assessing the efficiency of government stimulation of competition among universities and to predicting the outcomes of applying existing stimulation tools. This paper presents the results of assessing the current level of competition in the Russian university market using a nonstructural method, an adjusted Panzar-Rosse competition assessment model. We used the value of grants received by universities as part of government orders as one of the model factors and also analyzed the effects of other factors describing the size, entrance requirements, and research activities of universities. This article investigates how university income depends on the value of grants received (a ratio of total income to the size of grants) and on the number of students and teachers. The level of competition in this market is characterized by the elasticity of the total income of an average university based on the value of grants received.
High Speed & Power Efficient Inverter using 90 nm MTCMOS Technique

A high speed and low power CMOS inverter is designed & simulated in this paper. The critical path consists of PMOS and NMOS. The designed inverter cell offers high speed and low power consumption than the CMOS inverter. A Multi Threshold Complementary Metal Oxide Semiconductor (MTCMOS) technique is used to reduce the leakage current as well as leakage power to achieve better results. MTCMOS is very effective circuit level technique that improves the performance in terms of power by utilizing low and high threshold voltage transistors. Leakage current of CMOS inverter is reduced by 30.77% in case of Low Leakage and 29.48% in case of High speed operation using MTCMOS technique. Leakage power of the MTCMOS inverter therefore reduced as leakage current reduced. The Schematic of developed inverter has been designed using DSCH and its layout has been created using 90nm technology in microwind 3.1 tool.
Role of Heme in the Antifungal Activity of the Azaoxoaporphine Alkaloid Sampangine

ABSTRACT Sampangine, a plant-derived alkaloid found in the Annonaceae family, exhibits strong inhibitory activity against the opportunistic fungal pathogens Candida albicans, Cryptococcus neoformans, and Aspergillus fumigatus. In the present study, transcriptional profiling experiments coupled with analyses of mutants were performed in an effort to elucidate its mechanism of action. Using Saccharomyces cerevisiae as a model organism, we show that sampangine produces a transcriptional response indicative of hypoxia, altering the expression of genes known to respond to low-oxygen conditions. Several additional lines of evidence obtained suggest that these responses could involve effects on heme. First, the hem1Δ mutant lacking the first enzyme in the heme biosynthetic pathway showed increased sensitivity to sampangine, and exogenously supplied hemin partially rescued the inhibitory activity of sampangine in wild-type cells. In addition, heterozygous mutants with deletions in genes involved in five out of eight steps in the heme biosynthetic pathway showed increased susceptibility to sampangine. Furthermore, spectral analyses of pyridine extracts indicated significant accumulation of free porphyrins in sampangine-treated cells. Transcriptional profiling experiments were also performed with C. albicans to investigate the response of a pathogenic fungal species to sampangine. Taking into account the known differences in the physiological responses of C. albicans and S. cerevisiae to low oxygen, significant correlations were observed between the two transcription profiles, suggestive of heme-related defects. Our results indicate that the antifungal activity of the plant alkaloid sampangine is due, at least in part, to perturbations in the biosynthesis or metabolism of heme.
International Conference on Information Systems ( ICIS ) 1-1-2009 Enterprise Readiness for IT Innovation : A Study of Mobile Computing in Healthcare

This research posits that enterprise-wide information technology (IT) innovation initiatives in uncertain economic times amplify the need and importance for decision makers to systemically evaluate their organization’s capabilities, competencies, and potential risk areas that could either accelerate or impede adoption and implementation. The purpose of this research is to develop a theoretically-grounded, conceptual framework of healthcare enterprise readiness for IT innovation that will aid health IT decision makers with this complex task. We study this in the context of mobile computing which is poised to fundamentally transform healthcare delivery by improving patient care and lowering costs. Preliminary findings of our multi-phase exploratory empirical study with healthcare CIOs reveal the relative importance of several key assessment dimensions and indicators. Our research has important implications for both adopters and providers of health IT and contributes to our broader understanding of IT-enabled transformation of healthcare.
A Self Adjustable Multi-Channel MAC Protocol for Ad Hoc Wireless Network

In this paper, we propose a new multi-channel MAC protocol for MHs that are equipped with single transceiver or multi-transceivers in Ad Hoc wireless networkl. The proposed protocol modified the RTS/CTS frames for multi-channel usage, and divides the transmission frame into channel negotiation and data transmission period. The protocal can contain different type of MHs including multi-channel and single channel nodes and achieve high throughput. The simulation results show that our schemes can effectively exploit multiple channels to achieve higher throughput than IEEE 802.11 and many existing multi-channel MAC protocols.
Aggregation on the fly: reducing traffic for big data in the cloud

As a leading framework for processing and analyzing big data, MapReduce is leveraged by many enterprises to parallelize their data processing on distributed computing systems. Unfortunately, the all-to-all data forwarding from map tasks to reduce tasks in the traditional MapReduce framework would generate a large amount of network traffic. The fact that the intermediate data generated by map tasks can be combined with significant traffic reduction in many applications motivates us to propose a data aggregation scheme for MapReduce jobs in cloud. Specifically, we design an aggregation architecture under the existing MapReduce framework with the objective of minimizing the data traffic during the shuffle phase, in which aggregators can reside anywhere in the cloud. Some experimental results also show that our proposal outperforms existing work by reducing the network traffic significantly.
A 3D GARMENT DESIGN AND SIMULATION SYSTEM

A 3D GARMENT DESIGN AND SIMULATION SYSTEM Funda Durupınar M.S. in Computer Engineering Supervisor: Asst. Prof. Dr. Uğur Güdükbay July, 2004 In this thesis study, a 3D graphics environment for virtual garment design and simulation is presented. The proposed system enables the three dimensional construction of a garment from its two dimensional cloth panels, for which the underlying structure is a mass-spring model. Construction of the garment is performed through cutting, boundary smoothing , seaming and scaling. Afterwards, it is possible to do fitting on virtual mannequins like in the real life as if in a tailor’s workshop. The behavior of cloth under different environmental conditions is implemented applying a physically-based approach. As well as the simulation of the draping of garments, efficient and realistic visualization of garments is an important issue in cloth modelling. There are various material types and reflectance properties for fabrics. We have implemented a number of material and rendering options such as knitwear, woven cloth and standard shading methods such as Gouraud shading. Performance results of the system are presented at the end.
Sox2 promotes tamoxifen resistance in breast cancer cells

Development of resistance to therapy continues to be a serious clinical problem in breast cancer management. Cancer stem/progenitor cells have been shown to play roles in resistance to chemo‐ and radiotherapy. Here, we examined their role in the development of resistance to the oestrogen receptor antagonist tamoxifen. Tamoxifen‐resistant cells were enriched for stem/progenitors and expressed high levels of the stem cell marker Sox2. Silencing of the SOX2 gene reduced the size of the stem/progenitor cell population and restored sensitivity to tamoxifen. Conversely, ectopic expression of Sox2 reduced tamoxifen sensitivity in vitro and in vivo. Gene expression profiling revealed activation of the Wnt signalling pathway in Sox2‐expressing cells, and inhibition of Wnt signalling sensitized resistant cells to tamoxifen. Examination of patient tumours indicated that Sox2 levels are higher in patients after endocrine therapy failure, and also in the primary tumours of these patients, compared to those of responders. Together, these results suggest that development of tamoxifen resistance is driven by Sox2‐dependent activation of Wnt signalling in cancer stem/progenitor cells.
Generating balanced descriptions using classification-based approach

When transmitting multimedia information over non-prioritized networks subject to packet losses or multiple channels subject to independent channel drops, multiple description coding becomes an effective choice, in order to minimize the end-to-end distortion. The generated descriptions should have similar rate and distortion when the two physical or logical pathes, over which descriptions travel, have similar bandwidth and probability of failure. In this paper, we propose an efficient and low complexity method to generate balanced descriptions so as to overcome the week point of the previously proposed method for generatirng rate-distortion based descriptions for JPEG 2000 and motion JPEG 2000.
Design and evaluation of adaptive secure protocol for E-commerce

As Internet business exponentially grows, the need for high security level categories to identify groups of connections or individual transactions is manifest. The development of an efficient and secure communication protocol seems to be highly demanding. We propose the adaptive secure protocol to support secure E-commerce transactions. Our adaptive secure protocol dynamically adapts the security level based on the nature and sensitivity of the interactions among participants. The security class incorporates the security level of cryptographic techniques with a degree of information sensitivity. We implement the adaptive secure protocol and measure its performance. The experimental results show that the adaptive secure protocol provides E-commerce transactions with high quality of security service.
Implicit Target Substitution and Sequencing for Lexical Tone Production in Chinese: An fMRI Study

In this study, we examine the neural substrates underlying Tone 3 sandhi and tone sequencing in Mandarin Chinese using fMRI. Tone 3 sandhi is traditionally described as the substitution of Tone 3 with Tone 2 when followed by another Tone 3 (i.e., 33→23). According to current speech production models, target substitution is expected to engage the posterior inferior frontal gyrus. Since Tone 3 sandhi is, to some extent, independent of segments, which makes it more similar to singing, right-lateralized activation in this region was predicted. As for tone sequencing, based on studies in sequencing, we expected the involvement of the supplementary motor area. In the experiments, participants were asked to produce twelve four-syllable sequences with the same tone assignment (the repeated sequences) or a different tone assignment (the mixed sequences). We found right-lateralized posterior inferior frontal gyrus activation for the sequence 3333 (Tone 3 sandhi) and left-lateralized activation in the supplementary motor area for the mixed sequences (tone sequencing). We proposed that tones and segments could be processed in parallel in the left and right hemispheres, but their integration, or the product of their integration, is hosted in the left hemisphere.
Communication-efficient distributed statistical learning

We present the Communication-efficient Surrogate Likelihood (CSL) framework for solving distributed statistical learning problems. CSL provides a communication-efficient surrogate to the global likelihood that can be used for low-dimensional estimation, high-dimensional regularized estimation and Bayesian inference. For low-dimensional estimation, CSL provably improves upon the averaging schemes and facilitates the construction of confidence intervals. For high-dimensional regularized estimation, CSL leads to a minimax optimal estimator with minimal communication cost. For Bayesian inference, CSL can be used to form a communication-efficient quasi-posterior distribution that converges to the true posterior. This quasi-posterior procedure significantly improves the computational efficiency of MCMC algorithms even in a non-distributed setting. The methods are illustrated through empirical studies.
Applying the Health Belief Model Constructs to Determine Predictors of Dietary Behavior among High-School Students

Introduction: Healthy nutrition during adolescence and adulthood, compared with childhood, is considered important since the basal metabolic rate decreases with age and there is often a reduction of physical activities. Furthermore, educational achievement is dependent on a healthy diet. Therefore, the present study investigated predictors of dietary behavior on the basis of the Original Research Article Arash et al.; BJMMR, 17(8): 1-7, 2016; Article no.BJMMR. 27875 2 Health Belief Model (HBM) among high-school students in Kermanshah, Iran. Materials and Methods: This cross-sectional study was both descriptive and analytical. The multistage random sampling method was applied and 500 high-school students (250 male students and 250 female students) were selected. The research tool was a two-part questionnaire, including questions about personal information and a healthy diet. Descriptive and analytical tests were conducted using the SPSS18 software. Results: The most important predictor of the students’ healthy dietary behavior was perceived benefits. Perceived barriers and self-efficacy were not effective predictors. Moreover, there was a positive and significant relationship between healthy-diet patterns and perceived self-efficacy as well as perceived barriers. The mean score of self-efficacy for a healthy diet among the male students was significantly higher than among the female students (P < 0.001). Discussion and Conclusion: The results of the present study indicate that some of the HBM constructs are sufficient for detecting the predictors of dietary behavior. Therefore, other psychosocial models should be considered for changing dietary behavior among students.
Poster: On the Usability of Secure GUIs

We use commodity computing platforms for many tasks, including entering or editing sensitive data on them. Unfortunately, the graphical user interfaces (GUI) running on these devices are not designed to provide a secure means of ensuring users that they are interacting with the authentic application and not with some fake one. These design weaknesses are often exploited by adversaries. They try to steal security sensitive data by tricking users to enter such data into “authentic”-looking applications. Secure GUIs have been proposed as a solution to this problem, e.g., [2, 6, 4], and few commercial secure operating systems employ these concepts, e.g., [3]. The main idea is that a trusted part of the operating system controls what is displayed on the screen, and the user is always able to invoke a trusted path to this part. Most of the secure GUI proposals include a reserved area on the screen that is used to display information about which application is currently having the input/output focus of the user and what type of security or trustworthiness this application has (e.g., trusted/untrusted or confidential/secret/topsecret). The reserved area in the proposed secure GUI implementations is usually a topor bottom-screen status bar, e.g., [3]. Obviously, it is very important that users know the meaning of the reserved area of secure GUIs, perceive the information in it, and only edit or enter sensitive data if the authentic application with the corresponding sensitivity level is enabled. A potential drawback of existing secure GUI implementations is that such indicators are passive ones – i.e., the system does not actively prevent (because it is technically not possible to do so) the user from entering sensitive data in any untrusted application – and it is already known from previous research in usable security [1, 5, 7, 8] that passive indicators do not provide e↵ective protection against attacks in the web browser context. However, we want to find out whether passive security indicators can still have a meaning in the context of Secure GUIs. While existing proposals [2, 6, 4, 3] provide strong security guarantees from a technical point of view, none of them has been evaluated with respect to the e↵ective protection for the average users. Thus, it is not known whether any of them provides an e↵ective protection.
BMI-based learning system for appliance control automation

In this research we present a non-invasive Brain-Machine Interface (BMI) system that allows patients with motor paralysis conditions to control electronic appliances in a hospital room. The novelty of our system compared to other BMI applications is that our system gradually becomes autonomous by learning user actions (i.e. turning on/off window, lights, etc.) under certain environment conditions (temperature, illumination, etc.) and brain states (i.e. awake, sleepy, etc.). By providing learning capabilities to the system, patients are relieved from mental fatigue or stress caused by continuously controlling appliances using a BMI. We present an interface that allows the user to select and control appliances using electromyogram signals (EMG) generated by muscle contractions such as eyebrow movement. Our learning approach consists in two steps: 1) monitoring user actions, input data from sensors distributed around the room, and Electroencephalogram (EEG) data from the user, and 2) using an extended version of the Bayes Point Machine approach trained with Expectation Propagation to approximate a posterior probability from previously observed user actions under a similar combination of brain states and environmental conditions. Experimental results with volunteers demonstrate that our system provides satisfactory user experience and achieves over 85% overall learning performance after only a few trials.
External optimization of SQL-query under conditions of databases structural uncertainty

The paper deals with factors that influence the speed of data receiving in information systems. The method of automatic external SQL-query optimization is described. The method is based on the principle of building a local model of controlled process. It allows one to optimize the SQL-queries regardless of applied database management system and its settings. The structural and functional diagram of adaptive system of an external SQL-query optimization is presented. Possibility of using the proposed method under the conditions of databases structural uncertainty was tested.