Miracle-dz/UniFAR-FTUs huggingface dataset:
Genetic algorithms for control of power converters

This paper evaluates genetic algorithms (GAs) as a new nonlinear technique for the control of power converters. Genetic algorithms are a class of parallel processing learning techniques. They are used to optimize power converter control laws relative to a performance index. An example using a full-bridge topology verifies the usefulness of this technique. <<ETX>>
Prediction of Crude Oil Prices using Hybrid Guided Best-So-Far Honey Bees Algorithm-Neural Networks

The objective of this paper is the use of new hybrid meta-heuristic method called Guided Best-So-Far Honey Bees Inspired Algorithm with Artificial Neural Network (ANN) on the Prediction of Crude Oil Prices of Kingdom of Saudi Arabia (KSA). Very high volatility of crude oil prices is one of the main hurdles for the economic development; therefore, it’s the need of the hour to predict crude oil prices, especially for oil-rich countries such as KSA. Hence, in this paper, we are proposing a hybrid algorithm, named: Guided Best-So-Far Artificial Bee Colony (GBABC) algorithm. The proposed algorithm has been trained and tested with ANN for finding the optimal weight values to increase the exploration and exploitation process with balance quantities to obtain the accurate prediction of crude oil prices. The KSA crude oil prices of the five years 2013 to 2017 have been used to train ANN with different topologies and learning parameters of the proposed method for the prediction of the crude oil prices of the next day. The simulation results have been very promising and encouraging of the proposed algorithm when compared and analyzed with ABC, GABC (Gbest Guided ABC) and Best-So-Far ABC methods for prediction purpose. In most cases, the actual prices and predicted crude oil KSA prices are very close, which were obtained by the proposed GBABC method based on the optimal weight values of ANN and minimum prediction error.
Towards the Development of a Computer-based Game for Phonemic Awareness

In this paper, we discuss some of the results of a participatory design workshop used to elicit design guidelines for an education game for phonemic awareness intended for use by disadvantaged students. Using a grounded theory approach, we analyze facilitators’ observations from the workshop and related findings to well-established game design guidelines. We were able to align facilitators’ observations with these guidelines in order to prescribe ways to support student participation, mitigate student disengagement, support various team roles and dynamics, and accommodate a variety of game play strategies.
A new BIST structure for low power testing

A new simple built-in-self-test (BIST) structure for low power testing is presented in this paper. The principle of the proposed method is to reconstruct the LFSR circuit to reduce the WSA of the circuit under test (CUT) by choosing the CUT's heavy inputs. Experimental results shows that it can efficiently reduce the number of transitions in the CUT; hence decrease the total power consumption during testing. Moreover, these results are obtained with no loss of stuck-at-fault coverage (FC).
Generative Non-Markov Models for Information Extraction

Learning from unlabeled data is a long-standing challenge in machine learning. A principled solution involves modeling the full joint distribution over inputs and the latent structure of interest, and imputing the missing data via marginalization. Unfortunately, such marginalization is expensive for most non-trivial problems, which places practical limits on the expressiveness of generative models. As a result, joint models often encode strict assumptions about the underlying process such as fixedorder Markovian assumptions and employ simple count-based features of the inputs. In contrast, conditional models, which do not directly model the observed data, are free to incorporate rich overlapping features of the input in order to predict the latent structure of interest. It would be desirable to develop expressive generative models that retain tractable inference. This is the topic of this thesis. In particular, we explore joint models which relax fixed-order Markov assumptions, and investigate the use of recurrent neural networks for automatic feature induction in the generative process. We focus on two structured prediction problems: (1) imputing labeled segmentions of input character sequences, and (2) imputing directed spanning trees relating strings
Ein Experiment zum Effekt der spielbasierten Gestaltung auf die Akzeptanz einer medienbasierten Lernumgebung

Der Effekt der spielbasierten Gestaltung auf die Akzeptanz von Bildungstechnologien wurde bislang noch nicht ausreichend untersucht. In der vorliegenden Studie wird eine Lernumgebung fur Burosoftware untersucht, die (a) systematisch, (b) spielbasiert gestaltet war oder auch (c) den Lernenden die Moglichkeit gab, zwischen ersteren beiden zu wahlen. Das Experiment wurde mit N = 60 Studierenden durchgefuhrt. Zwischen den Untersuchungsbedingungen (a) und (b) wurde kein signifikanter Akzeptanzunterschied festgestellt. Die Wahl zwischen den beiden Gestaltungsmoglichkeiten (c) hatte einen negativen direkten Effekt auf die Akzeptanzvariablen, moderierte aber negativ den sozialen Einfluss auf die Nutzungsintention der Technologie und positiv den Effekt der Leistungserwartung auf die Nutzungsintention. Aus Selbstbestimmungsperspektive hebt dieser Befund die Bedeutung des Spiels als Lernhandlung hervor. (DIPF/Orig.)
Community structure of complex networks based on continuous neural network

As a new subject, the research of complex networks has attracted the attention of researchers from different disciplines. Community structure is one of the key structures of complex networks, so it is a very important task to analyze the community structure of complex networks accurately. In this paper, we study the problem of extracting the community structure of complex networks, and propose a continuous neural network (CNN) algorithm. It is proved that for any given initial value, the continuous neural network algorithm converges to the eigenvector of the maximum eigenvalue of the network modularity matrix. Therefore, according to the stability of the evolution of the network symbol will be able to get two community structure.
A history of sexually transmitted diseases and AIDS in Senegal: difficulties in accounting for social logics in health policy.

The history of STDs health policies and conceptions implemented by colonial rulers highlights an often ambiguous relationship between the demographic themes of concern over population growth and health for the development of colonies and the theme of sanitation that has been recurring in venereal disease control programs. Some practices are constant particularly those pertaining to the status of the diseases long considered as social scourges and stigmatized as such. Because they jeopardized the population growth desired by the colonial administration and were more difficult to control than other diseases they were classified as separate from other kinds of afflictions and were dealt with very much as AIDS is today. (excerpt)
Surface-wave devices for signal processing

1. Introductory Survey. 2. Acoustic Waves in Elastic Solids. 3. Electrical Excitation at a Plane Surface. 4. Analysis of Interdigital Transducers. 5. The Multi-Strip Coupler and its Applications. 6. Propagation Effects and Materials. 7. Delay Lines and Multi-Phase Transducers. 8. Bandpass Filters. 9. Chirp Filters and Their Applications. 10. Devices for Spread-Spectrum Communications. Appendices. References. Index.
Risk Factors for Diabetic Retinopathy in Patients Attending Primary Care Settings

retinopathy during the year 2011 were reviewed. The following were documented: age, sex, duration of diabetes, glycated hemoglobin (A1C), blood pressure (BP), lipid profile, smoking status, presence or absence of chronic kidney disease and guardian drugs [Angiotensin Converting Enzyme Inhibitors (ACEi), Angiotensin Receptor Blockers (ARBs), Statins and Aspirin] used. In addition, patients with diabetes who were screened as normal (no DR) from 4 health centers were randomly selected and their medical records were reviewed to compare the above mentioned risk factors between those with and those without DR. Result: A total of 1,508 retinal screening forms were reviewed, 112 patients were diagnosed with DR. A total of 263 screened but had no DR were reviewed in the selected 4 health centers. In DR, uncontrolled A1C was found in 81 (72.3%) patients, high BP in 69 (61.6%) and Low Density Lipoprotein in 81 (72.3%). There was statistically significant association between A1C ≥ 53mmol/mol (P=0.000), increased diabetes duration (P=0.000), total cholesterol ≥5.2mmol/l (P=0.008), LDL ≥2.6mmol/l (P=0.002) and the presence of DR. There was no significant association between age, sex, BP, and triglycerides level ≥1.7mmol/l and presence of DR. The use of statins, ARBs, fibrates and aspirin was significantly higher in patients with DR. Conclusion: Control of the identified modifiable risk factors is suboptimal. The burden of DR can be reduced by more intensive control of these factors through effective use of the currently available guardian drugs.
ASIC applications in computed tomography systems

Describes the uses of application-specific integrated circuits (ASICs) in computed tomography (CT) diagnostic imaging systems, CT scanners currently in production and future systems under development use the full range of ASIC technologies, from field-programmable gate arrays (FPGAs) to full-custom mixed-signal integrated circuits. Criteria for determining when to use ASICs and what type of ASIC to use are also discussed. <<ETX>>
Processus MOPCOM pour SoC/SoPC

Dans cet article, nous presentons un flot IDM de conception de SoC (System-On-Chip) base sur l'utilisation du profil UML MARTE (Modeling and Analysis of Real-Time Embedded Systems), dedie a la conception et l'analyse de systemes temps reel embarques et recemment standardise par l'OMG. Le flot presente s'adresse aux problematiques de la communaute de l'ESL (Electronic System Level) et s'inscrit dans le cadre du projet MoPCoM (http://www.mopcom.fr).
Management of excessive gingival display: Lip repositioning technique

The lips form the frame of a smile and define the esthetic zone. Excessive gingival display during smile is often referred to as "gummy smile". A successful management of excessive gingival display with lip repositioning procedure has shown excellent results. The procedure involves removing a strip of partial thickness mucosa from maxillary vestibule, then suturing it back to the lip mucosa at the level of mucogingival junction. This technique results in restricted muscle pull and a narrow vestibule, thereby reducing the gingival display. In this case gummy smile was treated by modification of Rubinstein and Kostianovsky′s surgical lip repositioning technique which resulted in a harmonious smile.
Abstract P5-11-11: Completion of 5-Years Adjuvant Endocrine Therapy in the Community

Background: Adjuvant endocrine therapy is recommended by guidelines for all eligible patients with breast cancer for a minimum 5-year period. Shorter periods of treatment and low adherence to medication are associated with worse outcomes for patients. This study examined whether women in the community completed the full course of adjuvant endocrine therapy and whether they were adherent to their medication. Materials and Methods: A cohort of all women diagnosed and treated for breast cancer in the Tayside region of Scotland during the period January 1993 — December 2008 was identified. Information on dispensed prescribing was linked to hospital discharge records, breast cancer clinical audit, cancer registry and death certification for each individual patient. Patients were identified as starting either aromatase inhibitor or tamoxifen therapy with adherence and duration of use subsequently calculated from dispensed prescribing records. Results: 5,729 women were identified with an incident cancer within the study period. 71% were initially prescribed tamoxifen, 8% started aromatase inhibitors and 21% received no adjuvant endocrine therapy. 25% of women who started on aromatase inhibitors switched treatments, with 19% of those on tamoxifen switching. The majority of women had high adherence, the median figure was 91%, but 1,589 (35%) of women had adherence below 80% which was shown in previous work to increase the risk of mortality. For patients followed for at least 1 year, 51 (11%) started on AIs had stopped medication compared to 373 (9%) started on tamoxifen. At year 2, an additional 40 (12%) stopped AIs and 384 (11%) patients stopped tamoxifen. For 3 years follow up, an additional 39 (19%) stopped AIs, while 351 (11%) stopped tamoxifen. For patients followed for at least 4 and 5 years respectively, an additional 22 (26%) then 5 (20%) stopped AIs compared to 297 (11%) and 316 (16%) patients who stopped tamoxifen. Of the 3,613 patients with adequate follow up 1,876 (52%) stopped medication before completing a 5 year period. Conclusions: Half of all patients prescribed adjuvant endocrine therapy stop medication before completing the recommended 5-year period with approximately 20% stopping in the first two years. Over one in three patients have low adherence at a level known to increase the risk of mortality. All patients need to be encouraged to continue their treatment for the recommended 5-year period and to take it daily to ensure they receive maximum benefit from their medication. Citation Information: Cancer Res 2010;70(24 Suppl):Abstract nr P5-11-11.
Transaction Support using Compound Commands in Key-Value SSDs

Recently proposed key-value SSD (KVSSD) provides the popular and versatile key-value interface at the device level, promising high performance and simplified storage management with the minimal involvement of the host software. However, its I/O command set over NVMe is defined on a per key-value pair basis, enforcing the host to post key-value operations to KVSSD independently. This not only incurs high interfacing overhead for small key-value operations but also makes it subtle to support transactions in KVSSDs without a software support. In this paper, we propose compound commands for KVSSDs. The compound command allows the host to specify multiple key-value pairs in a single NVMe operation, thereby effectively amortizing I/O interfacing overhead. In addition, it provides an effective way for defining a transaction comprised of multiple key-value pairs. Our evaluation using a prototype KVSSD and an in-house KVSSD emulator shows promising benefits of the compound command, with improving the performance by up to 55%.
The SCOTS Corpus: a resource for language contact study

The Scottish Corpus of Texts and Speech (SCOTS) is an ongoing project in the Department of English Language, University of Glasgow. The ultimate aim of the project is to create a large electronic corpus of both written and spoken texts for the languages of Scotland, which will reflect the linguistic situation in current-day Scotland. The corpus will be freely accessible and searchable on the Web. A corpus such as this of course can have any number of applications: in addition to studies of language contact, corpus methodology makes possible various types of self-contained investigation into the lexis, grammar, phraseology, pragmatics etc., of the languages of Scotland. The aim of this paper is to introduce the corpus, and highlight some of its possible applications in the study of language contact. Contact has been historically important for the languages of Scotland, and this is no less true today: I hope therefore to suggest ways in which the resource will be valuable for such research in the very near future.
Hormonal Effects on The Immune System

Patricia K. Coyle, MD is Professor ofNeurology and Director ofthe Multiple Sclerosis (MS) Comprehensive Care Center at the School of Medicine, State University ofNew York at Stony Brook. Dr. Coyle received her BS degree with highest honors from Fordham University and her MD degree from Johns Hopkins, where she was elected toAlpha OmegaAlpha. She next completed a year long medical internship at the Cornell New York Hospital Memorial Sloan Kettering program, then returned to Johns Hopkins to complete a residency and chief residency in Neurology. This was followed by a two year fellowship in Neuroimmunology and Neurovirology at Hopkins. Dr. Coyle then moved to Stony Brook, where she established her research laboratory, built a busy clinical practice, and started the MS Care Center. Dr. Coyle is the author of over 100 peer reviewed and invited articles. She is recognized as a leading expert on MS and nervous system infections. Her particular areas of expertise include Lyme disease, cerebrospinal fluid, therapeutics, neuroimimunology, and fatigue. She has been the recipient of over 20 major grants, and is currently director of a program project grant on neurologic Lyme disease, and is also funded by an ROI and several clinical trials grants. She is Associate Director of the Clinical Research Center at Stony Brook University Hospital Medical Center. Dr. Coyle is an active member of the AmericanAcademy ofNeurology and the American Neurological Association (ANA). She is chair ofthe Academy Graduate Education Subcommittee, and a member ofthe Education Committees oftheAcademy andANA. She is chair of the Long Island Chapter National MS Society Cliical Advisory Commiftee, and a member of the National MS Society Medical Advisory Board and Professional Education Committee. She has served on the FDA Advisory Panel for CNS and PNS drugs, and for vaccine development.
INSOMNIO, ANSIEDAD Y DEPRESIN EN EL PACIENTE ONCOLGICO

A viewfinder eyepiece for a camera having a video signal tap, particularly a professional high definition video camera, for viewing the display screen of a display device, such as a CRT, in the viewfinder. The eyepiece includes a negative powered lens on an optical axis and positioned adjacent the display screen, a first positive powered lens on the optical axis is spaced from the negative powered lens is located at an eye-viewing end of the eyepiece, and a second positive powered lens positioned on the optical axis between the negative powered lens and the first positive powered lens. The second positive lens is mounted in the eyepiece to be movable along the optical axis in the space between the negative powered lens and the first positive powered lens for adjusting the focus on the display screen through the eyepiece. The combined display device and eyepiece module is releasably connected to the rest of the viewfinder and extensions can be installed for modifying the view position without affecting the image viewing through the eyepiece.
Integrating Mathematics and Other Content Disciplines in the Elementary Classroom

Curriculum integration is a growing trend in education. Researchers look at integration to alleviate the demand on educator’s time to teach while still meeting all core standards, whether they are state standards such as the Utah Core Standards or other standards such as Common Core State Standards. For my honors project I looked at curriculum integration applied to the elementary classroom setting. Having researched integration examples and best practices I created three lessons that were taught during my student teaching. My lessons met all Common Core State Standards and Utah Core Standards. Through an action research qualitative study I reflected on my experiences with curriculum integration. I answered the following research questions: (1) What does research say about integration in the classroom? (2) Is it effective to integrate two or more subjects? (3) Is it a sensible venture? The lessons were observed and critiqued by a cooperating teacher and evaluation assessment data were collected and analyzed for all students in the classroom. I used a journal to reflect on my practices of integration and my personal experience. Themes from the teaching journal are shared.
Link-Time Code Modification

Many existing or potential programming tools require the program to be completely recompiled with a special compiler option. This is usually inconvenient for the program developer, and may reduce the usefulness of the tool or the frequency with which the tool is employed. It may also require the maintenance of different versions of standard libraries, each compiled with the appropriate options for a different tool. The difference between modules compiled with and without the special option is often simple and regular. If so, we can effect this difference by modifying the normally-compiled object code at link time, instead of recompiling. This reduces the overhead of using the tool by an order of magnitude, making it much more convenient.
Contributions to image encryption and authentication

Advanced digital technologies have made multimedia data widely available. As multimedia applications become common in practice, security of multimedia data has become main concern. Digital images are widely used in various applications, that include military, legal and medical systems and these applications need to control access to images and provide the means to verify integrity of images. Image encryption algorithms protect data against unauthorized access. In almost all cases image data is compressed before it is stored or transmitted because of the enormity of multimedia data and their high level of redundancy. Compressing plaintext before applying the encryption algorithm e ectively increases security of the overall system. However direct application of encryption algorithms to image data i) requires high computational power and ii) introduces delay in real-time communication. If a data compression algorithm can be made to also provide security, less processing overhead could be expected as a single algorithm achieves two goals. Image authentication provides the means to verify the genuineness of images. Authentication codes provide a method of ensuring integrity of data. The challenge in image authentication is that in many cases images need to be compressed and so the authentication algorithms need to be compression tolerant. Cryptographic authentication systems are sensitive to bit changes and so are not suitable for image authentication. In this thesis, we study existing image encryption and authentication systems and demonstrate various attacks against these systems. We propose a JPEG encryption system that encrypts only part of the data, and a JPEG2000 encryption system that uses a simple operation, i.e. permutation, and show methods to minimize the computation cost for encryption. We also propose an image authentication system that remains tolerant to changes due to JPEG lossy compression.