Miracle-dz/UniFAR-FTUs huggingface dataset:
Logic Minimization Algorithms For Vlsi Synthesis

logic minimization algorithms for vlsi synthesis is available in our book collection an online access to it is set as public so you can get it instantly. Our book servers saves in multiple countries, allowing you to get the most less latency time to download any of our books like this one. Kindly say, the logic minimization algorithms for vlsi synthesis is universally compatible with any devices to read.
Integrated Chronic Care for Patients with Atrial Fibrillation

• A submitted manuscript is the version of the article upon submission and before peer-review. There can be important differences between the submitted version and the official published version of record. People interested in the research are advised to contact the author for the final version of the publication, or visit the DOI to the publisher's website. • The final author version and the galley proof are versions of the publication after peer review. • The final published version features the final layout of the paper including the volume, issue and page numbers.
Digital Storytelling: Supporting Digital Literacy in Grades 4 - 12

iii ACKNOWLEDGEMENTS I am indebted to my committee members, Kevin Brooks and Joe Lambert for their insight and guidance in helping me articulate the importance of digital storytelling in schools. I would like to thank my immensely talented and supportive classmates in the IDT program, especially Engin, Karyn and Zuley. I will miss collaborating with them and making late night runs to Checkers and Krispy Kreme. Without the help of Georgia Tech's Center for the Enhancement of Teaching and Learning (CETL), I would not have been able to gain additional teaching experience at the middle and high school levels, as well as complete a large part of the analysis section. Finally, great friends back home, Bonnie, Brad and Laurie, made the peaks of graduate school more enjoyable and the low points laughable. Thank you.
Health Promotion Behaviors among African American Women

of a dissertation at the University of Miami. African American Women Dissertation supervised by Associate Professor Doris N. Ugarriza No. of pages in text. (138) The purpose of this research was to examine and describe the relationships among health status, marital status, income level, education level, age, and body mass index (BMI) with the added influence of spirituality on the health promotion behaviors of African American women, living in South Florida. The sample consisted of 137 women, 18 to 64 years of age, who were born in the United States and whose parents were born in the United States. Each participant completed a demographic questionnaire, the HealthPromoting Lifestyle Profile II (HPLP II), the Short Form–36 Health survey (SF-36), and the Spiritual Well-Being Scale (SWBS). Descriptive and inferential statistics with an alpha level of . 05 were used for data analysis. Statistically significant findings were (1) a positive relationship between health promotion behaviors and formal education, (2) a positive relationship between health promotion behaviors and spirituality (existential well-being), and (3) a negative relationship between health promotion behaviors and number of children. In the regression model, the five sets of variables together accounted for 25.5% of the variance in overall health promotion behaviors of African American women F (15, 121) = 2.768, p < . 01. The health promotion behaviors of African American women were not significantly affected by health status, marital status or BMI. Of the five demographic variables entered in the model, only number of children and education made statistically significant, unique contributions to health promotion behaviors. A sense of life satisfaction and purpose (existential well-being) made an additional, statistically significant, unique contribution to health promotion behaviors among African American women. The unique contribution of religious well-being was trivial. Therefore, formal education, number of children, and spirituality (existential well-being) may be used as predictors of health promotion behaviors among African American women, based on the results of this study. Culturally appropriate and relevant interventions used to encourage and educate African American women to increase physical activity, and decrease caloric intake are critical to mitigate the high rate of morbidity and mortality that African American women experience from CVD.
TDMA AND FDMA Integrated Hybrid Model for Communication Optimmization in VANET

VANET criticalities are required to handle to achieve the reliable and effective communication. The node level, message level hybridization increases the communication criticalities. Different layers of VANET are controlled by different protocols to achieve the communication optimization. In this work, MAC layer based optimization model is present. This model combined the TDMA and FDMA concepts to achieve the optimization. At first level, the communication level analysis is provided to prioritize the nodes. In second level, the time slot estimation is provided for contention window control to achieve optimized communication. The presented work model is applied in NS2 environment. The implementation result shows that the work has reduced communication loss and improved the communication throughput.
Competing risks

Competing risks arise when a subject is exposed to many causes of failure. Data consist of the time the subject failed and an indicator of which risk caused the subject to fail. Examples in medicine include the analysis of cause to death data, the analysis of relapse and death in remission in cancer studies, or random right censoring. In engineering applications competing risks arise when analyzing series systems. Classical competing risks deal with the modeling of the probability of failure in the observed system (crude probabilities) or in systems with some causes of failure removed (net or partial crude probabilities). Modern competing risks theory, often based on counting process methodology, examines estimation techniques for competing risks probabilities, regression modeling for competing risks probabilities and comparing competing risks probabilities between treatment groups. Copyright © 2010 John Wiley & Sons, Inc.
Nederlandse gedragscode wetenschappelijke integriteit

Op initiatief van KNAW, NFU, NWO, TO2-federatie, Vereniging Hogescholen en de VSNU heeft de commissie bestaande uit Keimpe Algra (voorzitter), Lex Bouter, Ton Hol en Jan van Kreveld, een nieuwe Nederlandse gedragscode wetenschappelijke integriteit opgesteld.
Using Checkpoint For Implementing Fault- Tolerant On Desktop Grids

Grid computing uses massive power of idle cycles of PC's . Desktop grids is nothing using the idle cycles of desktop PC's for computing large scale applications. There are many fields which requires large scale massive power such as scientific fields to handle complex and demanding problems. Desktop grids uses widely distributed grids the probability of occurring fault is more. Desktop Grids are being increasingly used as the execution platform for a variety of applications that can be structured as Bag-of-Tasks (BoT)[1]. In this paper we proposes a fault tolerant fair scheduler for bag of tasks application on desktop grid, which ensures error free transmission of data and performing tasks by using resources and also fair sharing of resources. Fault tolerant is implemented on desktop grid by using check point.
Complexity Measure of Software Composition Framework

This article proposes a pragmatic approach to software composition based on matching criteria by mimicking integrated hardware counterpart. The tangible value of consumer goods as described by Cox instills this logical derivation of the proposed approach. As software gradually matures in component form, various software compositions can be systematically assembled from related existing software. Two application software are composed based on their functionality matching. Their composition complexities are measured by function point. The total effort unveils a noteworthy finding that high complexity software demands larger effort to deploy. Thus, the proposed software composition framework not only offers the freedom of development mandates to the development team, but also broadens the horizon of cost and project evaluations by arriving at the proper mix of constituent components in the software product.
An Approach for Automatic Analysis of Online Store Product and Services Reviews

One of the advantages of e-commerce systems is that they enable customers and merchants to become acquainted with product and services reviews. Currently in the most popular online stores there are hundreds and even thousands of reviews for certain goods, which contain valuable information about the quality of t he offered assortment. This is the reason to look for ways for their computer processing. The article proposes an approach for automated analysis of customer reviews, based on natural language processing technology and application of methods of machine learning. A model for analysis and its implementation with the software product RapidMiner are proposed.
TWO-DIMENSIONAL REAL-TIME OCULAR ULTRASONOGRAPHY IN THE DOG

Two-dimensional real-time ultrasonography was performed with three different methods to determine the optimal technique for scanning canine orbital soft tissues. The three techniques included positioning the transducer on the clipped closed eyelid (eyelid contact method), directly on the cornea (corneal contact method), or on a small waterfilled balloon in direct contact with the cornea (water bath offset method). Horizontal and vertical images from the three techniques were compared and graded for diagnostic quality. The corneal contact method provided superior anatomic definition of the posterior globe and extraorbital tissues, whereas the water bath method gave higher-quality images of the anterior chamber and lens. Use of the eyelid contact method to image the eye and periorbital structures was not recommended because of multiple artifacts that severely degrade the image.
A 300°C Dynamic-Feedback Instrumentation Amplifier

A high-temperature instrumentation amplifier that uses dynamic feedback is presented. It realizes dynamic feedback by means of a rotating chain of resistors to compensate for resistor mismatches. An 11x dynamic-feedback instrumentation amplifier has been integrated in a standard junction-isolated 1.6-μm CMOS process and realizes an average gain error below 25 ppm up to 250°C without calibration or trimming. Leakage currents cause additional gain errors at higher temperatures. Nevertheless, even at 300°C, this average gain error is still less than 500 ppm.
Introduction to Classification

1 Basic Definitions and Probability Formulas 1. Probability of an Event: Let A be an event (e.g. A = it rains tomorrow). Then the probability of A occurring is symbolized Pr(A), where 0 ≤ Pr(A) ≤ 1. 2. Posterior Probability: Assume there exist two events A and B. Then the posterior probability of event A given event B is simply that probability that A will occur given that B has occurred. This is symbolized by Pr(A|B), where 0 ≤ Pr(A|B) ≤ 1. 3. Product Rule: Assume two events and call them A and B. The probability that both A and B will occur is symbolized by Pr(A ∩B), where Pr(A ∩B) = Pr(A|B) Pr(B) = Pr(B|A) Pr(A) (1) This is often referred to as the conjunction of two events. 4. Sum Rule: Assume two events and called them A and B. The probability that either event will occur is symbolized by Pr(A ∪B) where Pr(A ∪B) = Pr(A) + Pr(B)− Pr(A ∩B) (2) This is often referred to as the disjunction of two events. 5. Bayes Theorem: Assume two events and called them A and B. The posterior probability Pr(A|B) of A given B is Pr (A |B ) = Pr (B |A) Pr (A) Pr (B) (3)
Quantitative Evaluation of Nasolabial Alterations following Nasoalveolar Molding (NAM) Therapy in Patients with Unilateral Cleft Lip

Abstract The clinical benefit of nasoalveolar molding (NAM) is actively debated between cleft centers without clear consensus. Nasolabial measurements were performed on pediatric patients with unilateral clefts of the lip, with or without cleft palate, at an academic cleft/craniofacial center prior to and following NAM therapy between June 2015 and August 2016. The parameters of interest were: columella height and width, cleft nostril height and width, and lip width. Measurements were performed using photographs taken alongside a reference object. The image output was then scaled to the size of the reference object and the capture angle. Intraclass correlation coefficient was calculated to assess reliability of the photographic measurements. Descriptive statistics (mean, standard deviation [SD]) were calculated to characterize the pre- and post-NAM measurements. Student's t-tests were performed to compare the pre-NAM versus post-NAM measurements. The primary objective was to measure the effect of NAM on the nasal aesthetic units that are known to be anatomically aberrant in the cleft lip patient. Nine patients were included in this study. Average pre-NAM age was 2.5 weeks, and average post-NAM age was 13 weeks. Average columellar height increased from 3.70 mm (SD = 0.14) pre-NAM to 5.85 mm (SD = 1.96) post-NAM (p < 0.01); average columellar width increased from 4.71 mm (SD = 0.49) to 5.93 mm (SD = 0.71) (p < 0.01); average cleft nostril height increased from 3.54 mm (SD = 2.97) to 6.81 mm (SD = 2.98) (p = 0.01); and average cleft nostril width decreased from 15.46 mm (SD = 2.91) to 11.05 mm (SD = 1.01) (p = 0.01). Average lip width decreased from 34.61 mm (SD = 1.73) to 33.87 mm (SD = 3.67); however, this change was not statistically significant (p = 0.16). This study objectively quantifies positive changes in nasal aesthetics associated with NAM therapy, providing further evidence for its utility as a presurgical treatment modality for optimal aesthetic nasal results in the unilateral cleft lip patient. The major limitation of this study was a lack of control group, as our center universally treats complete unilateral cleft lip patients with NAM therapy. However, the authors strongly believe that the positive aesthetic nasal findings would persist if compared with a non-NAM control group.
Interfacce Intelligenti a Banche di Dati Bibliografici

Viene discussa l'importanza e il ruolo di interfacce intelligenti a sistemi di information retrieval nel reperimento di informazioni che effettivamente soddisfino i bisogni informativi degli utenti. La linea di ricerca FIRE ha avuto come obiettivo sviluppo e sperimentazione di un'interfaccia intelligente (basata su rappresentazione esplicita della conoscenza) ad un sistema di information retrieval di tipo booleano. Nello sviluppo di tale interfaccia un ruolo rilevante è rivestito dalle tecniche di intelligenza artificiale, mediante le quali è possibile modellare i ragionamenti e le conoscenze utilizzati da un intermediario di ricerca.
A Distributed Haskell for the Modern Web

We present the design and implementation of a novel programming model and software development suite for interactive, distributed web applications using the Haskell programming language. The suite includes the JavaScript-targeting Haste Haskell compiler which improves on the current state of the art by producing smaller and leaner JavaScript code while preserving compatibility with standard Haskell as well as with the de facto standard GHC compiler. We also describe the Haste.Foreign lightweight, portable interface for interoperating with JavaScript code, which allows boilerplate-free incorporation of JavaScript libraries in Haskell programs and vice versa. Haste.Foreign is implementable as a client library, and does not require any compiler modifications. While designed for the Haste compiler, the interface is portable across a range of Haskell dialects and high level target platforms. Finally, we present the Haste.App programming model for distributed web applications, which abstracts over the separation of client and server to allow distributed applications to be written and type checked as a single program. The Haste.App model stands in stark contrast to the conventional way of developing web applications as separate client and server programs communicating explicitly over some network protocol. Haste.App reduces the amount of boilerplate code required to implement distributed web applications, and provides type safety across the network separating the client and server parts. This shortens development times and eliminates costly and embarrassing runtime failures at the boundaries between networked components. Like the foreign function interface, this programming model is implementable entirely as a library without any compiler modifications, and is thus similarly portable.
Efficacy and Safety of Methotrexate Combined Iguratimod in Treatment of Active Rheumatoid Arthritis

Objective To observe the efficacy and safety of methotrexate(MTX)combined with iguratimod in the treatment of active rheumatoid arthritis(RA). Methods Sixty RA patients were enrolled according to the 2010 American College of Rheumatology(ACR)and the European League Against Rheumatism(EULAR)classification criteria,and were randomly treated with MTX alone(control group,n=30)or in combination with iguratimod(combined group,n=30). The counts of joint tenderness and swelling,VAS scores for pain index and patients' and physicians' global assessment,disease activity score of RA(DAS28),questionnaires for health assessment(HAQ),simplified disease activity index(SDAI),routine blood parameters,routine urine parameters,hepatic and renal function,erythrocyte sedimentation rate(ESR),and C-reactive protein(CRP)levels were recorded before and after treatment for 24 weeks.In addition,the ACR remission rate and safety were evaluated in both groups.Results Compared with control group,the ACR50,DAS28,ESR,CRP,HAQ、SDAI、counts of joint tenderness and swelling、pain index、patients' and physicians' global assessment,and other improved in combined group(P0.05). No significant differences in adverse reactions were found between the two groups(P0.05). Conclusion Combined treatment with MTX and iguratimod is superior to MTX alone for treating active RA with less adverse reactions and higher safety.
Method of student identification through college classroom surveillance videos using deep learning features and label propagation

For education or management, it is often necessary to identify students with their identification (ID) photos through the surveillance videos of the college classrooms. This is a typical application of ID photo based single-sample per-person (SSPP-ID) face recognition. After analyzing the main challenges, we propose a framework by combining deep learning method and label propagation algorithm together. It is composed of three sequential steps: the first step aims to partition the face image into several patches and get an unbalanced-patch based feature using ConvNets; In the second step, we select a few key-frames by using the log-likelihood ratio calculated by the Joint Bayesian model; The last step uses label propagation algorithm to propagate the labels from the key frames to the whole video by simultaneously incorporating constraints in temporal and feature spaces. The performance of the proposed method is evaluated on Movie Trailer Face Dataset and practical college class surveillance videos. Experiments with these challenging datasets validate the utility of the proposed method.
What’s All the Chatter? A Mixed-Methods Analysis of Emergency Physicians’ Tweets

Introduction Twitter is growing in popularity and influence among emergency physicians (EP), with over 2200 self-identified EP users. As Twitter’s popularity has increased among EPs so too has its influence. While there has been debate about the value of Twitter as an effective educational delivery tool, little attention has been paid to the nature of the conversation occurring on Twitter. We aim to describe how influential EPs use Twitter by characterizing the language, purpose, frequencies, content, and degree of engagement of their tweets. Methods We performed a mixed-methods analysis following a combined content analysis approach. We conducted qualitative and quantitative analyses of a sample of tweets from the 61 most influential EPs on Twitter. We present descriptive tweet characteristics and noteworthy themes. Results We analyzed 1375 unique tweets from 57 unique users, representing 93% of the influential Twitter EPs. A majority of tweets (1104/1375, 80%) elicited some response in the form of retweets, likes, or replies, demonstrating community engagement. The qualitative analysis identified 15 distinct categories of tweets. Conclusion Influential EPs on Twitter were engaged in largely medical conversations in which most messages generated some form of interaction. They shared resources and opinions while also building social rapport in a community of practice. This data can help EPs make informed decisions about social media engagement.
Cryptographic key distribution in wireless sensor networks: a hardware perspective

In this work the suitability of different methods of symmetric key distribution for application in wireless sensor networks are discussed. Each method is considered in terms of its security implications for the network. It is concluded that an asymmetric scheme is the optimum choice for key distribution. In particular, Identity-Based Cryptography (IBC) is proposed as the most suitable of the various asymmetric approaches. A protocol for key distribution using identity based Non-Interactive Key Distribution Scheme (NIKDS) and Identity-Based Signature (IBS) scheme is presented. The protocol is analysed on the ARM920T processor and measurements were taken for the run time and energy of its components parts. It was found that the Tate pairing component of the NIKDS consumes significants amounts of energy, and so it should be ported to hardware. An accelerator was implemented in 65nm Complementary Metal Oxide Silicon (CMOS) technology and area, timing and energy figures have been obtained for the design. Initial results indicate that a hardware implementation of IBC would meet the strict energy constraint of a wireless sensor network node.
Privacy-Preserving Power Consumption Data Measuring Protocol for Smart Grid

In modern smart grid, smart meter which has replaced human operators to do the power measuring work becomes very popular. However, the application of smart meter will leak power consumption data to untrusted attacker. The exposure of these data will be dangerous to users’ privacy. Only privacy related problems be solved, will the power users trust smart meters. In this paper, we investigate a previous work, and find it having many disadvantages. Then we propose a corresponding measuring protocol. The comparison results between our proposed protocol and the investigated protocol show our proposed protocol works better in many aspects. The application of our proposed protocol in smart grid will surely promote the application of smart meter into smart grid and simplify the engineering project management in smart grid. Keywordsenergy-metering; smart grid; power engineering project management
An introduction to digital signal processing

Signals and Systems. Sampled Data and the Z Transform. Sinusoidal Response of LSI Systems. Couplets and Elementary Filters. The Discrete Fourier Transform. The Continuous Fourier Integral Transform. Application of the Fourier Transform to Digital Signal Processing. Digital Filter Design. Inverse Filtering and Deconvolution. Spectral Factorization. Power Spectral Estimation. Multidimensional DSP. References.