Miracle-dz/UniFAR-FTUs huggingface dataset:
high-Application of ASIP in Embedded Design with Optimized Clock Management

— As the demand for high performance computing increases, new approaches have to be found to automate the de-sign of embedded processors. Simultaneously, new tools have to be developed to short the execution time consumption, and simpler design resulting in time to market. These are to be applied for the system architecture to achieve rapid exploration in on power consumption, chip area, and performance constraints. This enables interest in Application Specific Instruction Proces-sors (ASIPs) design and application considerably. It has higher flexibility as compared to dedicated hardware. The current case study focuses on an ASIP design methodology considering the classical parameters computational performance and area as well as energy consumption simultaneously. In this paper, the clock gating is analyzed and designed. Further it is optimized using Fast genetic algorithm (FastGA). The optimization result is shown for ICORE (ISS-core) ASIP for DVB-T acquisition and tracking algorithms. Observation shows a potential of about one order of magnitude in savings of energy for optimization.
HOW ARE WOMEN AND MEN PERCEİVED? STRUCTURE OF GENDER STEREOTYPES İN CONTEMPORARY TURKEY

Although gender stereotypes is a popular topic in social psychology, research on gender stereotypes in Turkish culture is limited. Therefore the purpose of the study was twofold: (1) to present how people describe women and men, and (2) to generate the underlying themes of the descriptions for each gender in order to present the structure of gender stereotypes in Turkish culture. By using free response method, undergraduates (N = 491) were asked to write down 10 adjectives to describe women and men. Frequencies showed that women were mostly described as emotional, jealous, easily-offended, faithful, delicate, self-sacrificing, warm, intelligent, sensitive, gossipy, ambitious, compassionate, beautiful, considerate, hardworking, attractive, and fragile; whereas men were mostly described as jealous, strong, selfish, emotional, ambitious, angry, rude, childish, rational, hardworking, intelligent, honest, brave, and protective. Further, these stereotypes were combined under four basic themes (appearance, personality, gender roles and power) and their subthemes to present the structure of gender stereotypes. Women’s stereotypes were structured mostly under their personality traits (warmth, selfishness, fragility, agency, and sociability) followed by gender roles (motherhood, and faithfulness), appearance, and power (strength, and weakness) themes, respectively. Men’s stereotypes were structured mostly under their personality traits (selfishness, agency, emotionality, irresponsibility, sociability, emotionlessness, and womanizer), but differently followed by power (manhood, and dominance), gender roles (fatherhood/breadwinner, and faithfulness), and appearance. Findings were discussed in the light of the existing literature on gender stereotypes, sexism, and manhood.
Innovative Massively Parallel AI Applications

Massively parallel applications must address problems that will be too large for workstations for the next several years, or else it will not make sense to expend development costs on them. Suitable applications include one or more of the following properties: 1) large amounts of data; 2) intensive computations; 3) requirement for very fast response times; 4) ways to trade computations for human effort, as in developing applications using learning methods. Most of the suitable applications that we have found come from the general area of very large databases. Massively parallel machines have proved to be important not only in being able to run large applications, but in accelerating development (allowing the use of simpler algorithms, cutting the time to test performance on realistic databases) and allowing many different algorithms and parameter settings to be tried and compared for a particular task. This presentation summarizes four such applications. The applications described are: 1) prediction of credit card "defaulters" (non-payers) and "attritters" (people who didn’t renew their cards) from a credit card database; 2) prediction of continuation of time series, e.g. stock price movements; 3) automatic keyword assignment for news articles; and 4) protein secondary structure prediction. These add to a llst identified in an earlier paper [Waltz 90] including: 5) automatic classification of U.S. Census Bureau long forms, using MBI~ - Memory-Based Reasoning [Creecy et al. 92, Waltz 89, Stanfill & Waltz 86]; 6) generating catalogs for a mail order company that maximize expected net returns (revenues from orders minus cost of the catalogs and mailings) using geneticaily-inspired methods; and 7) text-based intelligent systems for information retrieval, decision support, etc.
PROJECTED CENTRAL DARK MATTER FRACTIONS AND DENSITIES IN MASSIVE EARLY-TYPE GALAXIES FROM THE SLOAN DIGITAL SKY SURVEY

We investigate in massive early-type galaxies the variation of their two-dimensional central fraction of dark over total mass and dark matter density as a function of stellar mass, central stellar velocity dispersion, effective radius, and central surface stellar mass density. We use a sample of approximately 1.7 × 105 galaxies from the Sloan Digital Sky Survey Data Release Seven (SDSS DR7) at redshift smaller than 0.33. We apply conservative photometric and spectroscopic cuts on the SDSS DR7 and the MPA/JHU value-added galaxy catalogs, to select galaxies with physical properties similar to those of the lenses studied in the Sloan Lens ACS Survey. The values of the galaxy stellar and total mass projected inside a cylinder of radius equal to the effective radius are obtained, respectively, by fitting the SDSS multicolor photometry with stellar population synthesis models, under the assumption of a Chabrier stellar initial mass function (IMF), and adopting a one-component isothermal total mass model with effective velocity dispersion approximated by the central stellar velocity dispersion. The plausibility of an isothermal model to represent the galaxy total mass distribution is supported by independent gravitational lensing and stellar-dynamical analyses performed in the lens subsample, which is found here to represent nicely the entire galaxy sample. We find that within the effective radius the stellar mass estimates differ from the total ones by only a relatively constant proportionality factor. In detail, we observe that the values of the projected fraction of dark over total mass and the logarithmic values of the central surface dark matter density (measured in M☉ kpc−2) have almost Gaussian probability distribution functions, with median values of 0.64+0.08−0.11 and 9.1+0.2−0.2, respectively. We discuss the observed correlations between these quantities and other galaxy global parameters and show that our results disfavor an interpretation of the tilt of the fundamental plane in terms of differences in the galaxy dark matter content and give useful information on the possible variations of the galaxy stellar IMF and dark matter density profile. Finally, we provide some observational evidence on the likely significant contribution of dry minor mergers, feedback from active galactic nuclei, and/or coalescence of binary black holes on the formation and evolution of massive early-type galaxies.
Fuzzy Load Flow-New Algorithms Incorporating Uncertain Generation and Load Representation

Fuzzy modelling of power systems can take in account the qualitative aspects and vagueness or uncertainty that have not a random nature and therefore cannot be modelld by a probabilistic approach. This paper presents new fuzzy load flow analysis tools which enable one to incorporate in power system modelling information which is not deterministic nor stochastic about loads and generated powers, often expressed in a qualitative or linguistic way, and obtain results under the form of fuzzy information about voltages, active and reactive power flows and losses. To achieve this, a conceptual framework appropriate to assess the possibility of events is adopted. New fuzzy DC and AC formulations are presented, and the results under the form of possibility distributions obtained for an application study are examined. Adequate linearizing techniques have been adopted to overcome the difficulties related to some special cases where the resulting possibility distributions for currents and losses are described by membership functions that greatly differ from the ones assumed as data.
Numerical Study on the Impact of Power Plants on Primary PM10 Concentrations in South Korea

To develop effective emission abatement strategies for eighteen coal-fired power plants located throughout Korea, power plant emission data and TAPM(The Air Pollution Model) were used to quantify the impact of emission reductions on primary PM10 concentrations. TAPM was validated for two separate time periods: a high PM10 concentration period from April 7 to 12, 2016, and a low PM10 concentration period from June 1 to June 6 2016. The validated model was then used to analyze the impacts of five applicable power plant shut-down scenarios. The results showed that shut-down of four power plants located within the Seoul metropolitan area (SMA) would result in up to 18.9% reduction in maximum PM10 concentrations, depending on synoptic conditions. A scenario for the shutdown of a single low stack height with highest-emission power plant located nearest to Seoul showed a small impact on averaged PM10 concentrations (~1%) and 4.4% (0.54 μg/m3) decrease in maximum concentration. The scenario for four shutdowns for power plants aged more than 30 years within SMA also showed a highest improvement of 6.4% (0.26 μg/m3 in April) in averaged PM10 concentrations, and of 18.9% (2.33 μg/m3 in June) in maximum concentration, showing almost linear relationship in and around SMA. Reducing gaseous air pollutant emissions was also found to be significant in controlling high PM10 concentrations, indicating the effectiveness of coreduction of power plant emissions together with diesel vehicle emissions in the SMA. In addition, this study is implying that secondary production process generating PM10 pollution may be a significant process throughout most regions in Korea, and therefore concurrent abatement of both gas and particle emissions will result in more pronounced improvements in air quality over the urban cities in South Korea.
Psychosocial and Behavioral Determinants of Medication Nonadherence Among African Americans with Hypertension: A Dissertation

The overarching goal of this dissertation was to elucidate the psychosocial and behavioral determinants of medication nonadherence among African Americans with hypertension. One in three Americans in the United States has hypertension, and the prevalence of hypertension among African Americans is among the highest in the world. In addition to healthy behaviors such as following a low-salt and low-fat diet, getting regular exercise, and reducing stress, patients with hypertension must also adhere to antihypertensive medications. Poor medication adherence may be driven by psychosocial and behavioral factors; however, the impact of these factors on medication adherence is unclear especially within the African American community. To date, a paucity of research has examined the relationship between psychosocial and behavioral factors such as reported racial discrimination, John Henryism (a measure of active coping and an unhealthy response to stress) and home remedies with medication nonadherence. However, each of these factors has individually been linked with poorer health outcomes among African Americans. Using data from the TRUST study (2006-2008) the association between these constructs and medication adherence was assessed within our sample of 788 African Americans and a comparison group of 137 White participants with hypertension. Ordinal logistic regression was used to assess the association between racial discrimination, John Henryism, home remedies, and medication adherence. The findings from this research indicated more reported racial discrimination, higher John Henryism scores, and greater use of home remedies were associated with lower medication adherence. These findings yield new knowledge about medication adherence and provide practical insights about the psychosocial and behavioral determinants of medication adherence.
CT organ segmentation using GPU data augmentation, unsupervised labels and IOU loss

Fully-convolutional neural networks have achieved superior performance in a variety of image segmentation tasks. However, their training requires laborious manual annotation of large datasets, as well as acceleration by parallel processors with high-bandwidth memory, such as GPUs. We show that simple models can achieve competitive accuracy for organ segmentation on CT images when trained with extensive data augmentation, which leverages existing graphics hardware to quickly apply geometric and photometric transformations to 3D image data. On 3 mm^3 CT volumes, our GPU implementation is 2.6-8X faster than a widely-used CPU version, including communication overhead. We also show how to automatically generate training labels using rudimentary morphological operations, which are efficiently computed by 3D Fourier transforms. We combined fully-automatic labels for the lungs and bone with semi-automatic ones for the liver, kidneys and bladder, to create a dataset of 130 labeled CT scans. To achieve the best results from data augmentation, our model uses the intersection-over-union (IOU) loss function, a close relative of the Dice loss. We discuss its mathematical properties and explain why it outperforms the usual weighted cross-entropy loss for unbalanced segmentation tasks. We conclude that there is no unique IOU loss function, as the naive one belongs to a broad family of functions with the same essential properties. When combining data augmentation with the IOU loss, our model achieves a Dice score of 78-92% for each organ. The trained model, code and dataset will be made publicly available, to further medical imaging research.
Macrofauna communities of exposed sandy beaches on the Southern California mainland and Channel Islands

Exposed sandy beaches are important intertidal habitats and coastal resources in southern California. A high proportion of the mainland coast (74%, 93%, and 66% of Santa Barbara, Ventura, and Los Angeles counties, respectively) is sandy beach, much of which is heavily used by humans. Lower proportions of the California Channel Island coasts are sandy (52%, 33%, and 14% of San Miguel, Santa Rosa, and Santa Cruz islands, respectively). Island beaches receive little direct human disturbance and some are important rookeries for pinnipeds and nesting birds. Recent studies used similar methods to sample macrofauna and other factors on 36 sandy beaches of the southern California mainland and Channel Islands. Monitoring of physical characteristics, macrophyte wrack, and selected macrofauna species occurs only on Santa Rosa Island beaches. The beaches sampled were primarily modally intermediate morphodynamic types. Species richness, abundance, and biomass of macrofauna inhabiting exposed sandy beaches in southern California were high compared to values reported for similar beaches of other regions. Species richness was higher on mainland beaches than on island beaches. Species richness and abundances of selected taxa were positively correlated with macrophyte wrack cover. Beach grooming practices that remove wrack may have significant impacts on macrofauna communities.
THE ROLE OF EMOTIONS AND PERCEIVED CONTROL IN THE RECOVERY STRATEGY OF SERVICE COMPANIES

The purpose of this study is to investigate the effectiveness of service recovery tactics. The research included a qualitative study based on 30 interviews with customers and employees of a telecommunication company. This was followed by a quantitative study using between subject experimental designs based on scenarios. Our research results suggest that employees’ positive emotions and perceived control during the recovery process make consumers more satisfied.
Understanding the impact of entropy on policy optimization

Entropy regularization is commonly used to improve policy optimization in reinforcement learning. It is believed to help with \emph{exploration} by encouraging the selection of more stochastic policies. In this work, we analyze this claim using new visualizations of the optimization landscape based on randomly perturbing the loss function. We first show that even with access to the exact gradient, policy optimization is difficult due to the geometry of the objective function. Then, we qualitatively show that in some environments, a policy with higher entropy can make the optimization landscape smoother, thereby connecting local optima and enabling the use of larger learning rates. This paper presents new tools for understanding the optimization landscape, shows that policy entropy serves as a regularizer, and highlights the challenge of designing general-purpose policy optimization algorithms.
海外研修報告 : 北米エビ・カニ訪問紀行

Government intervention often gives rise to contests in which the possible ‘prizes’ are determined by the existing status-quo and some new publicpolicy proposal . In this paper we study the general class of such two-player public-policy contests and examine the effect of a change in the proposed policy, a change that may affect the payoffs of the two contestants, on their effort and performance. We extend the existing comparative statics studies that focus on the effect of changes either in the value of the prize in symmetric contests or in one of the contestants’ valuation of the prize in asymmetric contests. Our results hinge on the relationship between the strategic own-stake (“income”) effect and the strategic rival’s-stake (“substitution”) effect. This relationship is determined by three types of ability and stakes asymmetry between the contestants. In particular, we specify the asymmetry condition under which a more restrained government intervention that reduces the contestants’ prizes has the perverse effect of increasing their aggregate lobbying efforts.
Türk Toplumunda Çocuğun Yetiştirilmesinde Annenin Rolü: Konya İli Örneği

Bu arastirmada, Turk toplumunda cocugun yetistirilmesinde annenin rolleri ortaya konulmaya calisilmistir. Arastirmada uygulama sadece anneler uzerinde gerceklestirilmis, fakat cocuk yetistirilmesinde babanin rolu, babadan beklentiler de annelere sorularak tespit edilmeye calisilmistir. Boylece annenin cocuk yetistirmedeki islevlerinin Turk toplumundaki boyutu, alan arastirmasi verileriyle tespit edilmeye calisilmistir. Arastirmada her seyden once ebeveynin kendi aralarindaki iliskilerde ciddi sorunlarin bulundugu, ebeveyn cocuk arasindaki iliskilerde bir dengeden soz etmenin cok fazla mumkun olmadigi, babalarin cocuklarini yetistirmede ustlerine dusen gorevleri yerine getirmedigi, cocugun lurk toplumunda hâla bir yaslilik sigortasi olarak goruldugu tespit edilmistir.
Replacing soybean meal with roasted guar (Cyamopsis tetragonoloba) korma in broiler chicken diet

Roasted guar (Cyamopsis tetragonoloba) korma is a by product of guar gum industry left after removal of gum, contains high protein and low gum. An experiment of six week period was designed to assess the feeding value of guar korma in straight run (cobb400) broiler chicks (n=400), distributed randomly into twenty group of four each. Five experimental diets were formulated for pre starter (0–14 d), starter (15–28 d) and finisher (29–42 d) period incorporating 8 and 12% roasted guar korma replacing soybean meal (on part basis) with or without supplementation of enzyme (β-mannanase-@ 0.5 g/kg of diet). The diets were formulated based on maize-soybean meal; each diet was offered to four replicate groups of twenty birds each ad libitum. The results revealed that body weight gain, feed conversion ratio and immune response of broiler birds did not significantly (P>0.05) differ among different dietary treatments. It was concluded that roasted guar Korma can replace soybean meal safely and economically in commercial broiler diets up to 12% level.
Risk Factors Associated with Impaction Colic in Horses at North Western Area of Libya

Colic is a serious clinical condition affecting the welfare and survival of horses at the studs worldwide. However little is known about the incidence or risk factors associated with this condition among different horse groups or populations in Libya. In this work, we assessed the risk factors associated with impaction colic in horses in western part of Libya. Diagnosis was based on clinical findings and rectal examination. A questionnaire was constructed to assess the risk factors. Data analysis was performed by logistic regression analysis. Eighty-three horses were showing signs of impaction colic. Final multivariate logistic regression model showed that there was a significant association between the occurrence of impaction colic and previous exposure to colic (p < 0.5 ; OR: 1.9; 95% CI: 7.5-8.9 ), Dental diseases (p < 0.05 ; OR: 3.2 95% CI:1.1-9.5), racing (p < 0.5 ; OR: 4.2 95% CI: 3.9-4.5 ), and breed (d < 0.05; OR: 86.9; 95% CI:2.3-3.2. The results of the present study indicate that managemental risk factors are the major risks for impaction colic in race horses. Identification of risk factors may assist the clinician to construct effective preventive measures.
Shift to the Future: Rethinking Learning with New Technologies in Education

Chapter One -- The Millennials Chapter Two -- New Contexts for Learning Chapter Three -- Making Meaning: Technology as Play Chapter Four -- Thinking and Knowing: Informal Learning at Home and in Communities Chapter Five -- New Ways of Learning in School Chapter Six -- New Learning in the Third Millennium Chapter Seven -- Where Next? Supporting Learning and Understanding Learners in the 21st Century Appendices References
Lobular carcinoma of the male breast

BACKGROUND A case of lobular carcinoma in a male breast is described. Lobular carcinoma is a very uncommon histopathologic form of male breast cancer because of the absence of lobules in the normal male breast. The cytoarchitecture of the normal male breast can be deranged in conditions such as Klinefelter's syndrome or as a result of estrogen exposure. Lobular carcinoma of the male breast has been described in such instances where cytoarchitectural changes are likely to have occurred. METHODS AND RESULTS After the pathologic diagnosis was made, a fibroblast karyotype was performed to confirm a male genotype. The patient had received no hormonal therapy. The English language literature was reviewed. CONCLUSIONS This case represents the first report of lobular carcinoma in a proven genotypic male patient receiving no exogenous estrogens.
Query Processing on Encrypted Data in the Cloud by

—This paper explores a new encryption technique called POP. POP addresses the need to encrypt databases in the cloud and to execute complex SQL queries on the encrypted data efﬁciently. POP can be conﬁgured to meet different privacy requirements and attacker scenarios. Two such scenarios, referred to as domain attack and frequency attack , are studied in detail in this paper. Privacy and performance experiments conducted using the TPC-H benchmark show that POP makes it indeed possible to achieve good privacy with affordable performance overheads in many cases.