1,270 research outputs found

    Arithmetic crosscorrelation of binary mm-sequences with coprime periods

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    The arithmetic crosscorrelation of binary mm-sequences with coprime periods 2n112^{n_1}-1 and 2n212^{n_2}-1\ (gcd(n1,n2)=1\gcd(n_1,n_2)=1) is determined. The result shows that the absolute value of arithmetic crosscorrelation of such binary mm-sequences is not greater than 2min(n1,n2)12^{\min(n_1,n_2)}-1

    Hierarchical Attention Network for Visually-aware Food Recommendation

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    Food recommender systems play an important role in assisting users to identify the desired food to eat. Deciding what food to eat is a complex and multi-faceted process, which is influenced by many factors such as the ingredients, appearance of the recipe, the user's personal preference on food, and various contexts like what had been eaten in the past meals. In this work, we formulate the food recommendation problem as predicting user preference on recipes based on three key factors that determine a user's choice on food, namely, 1) the user's (and other users') history; 2) the ingredients of a recipe; and 3) the descriptive image of a recipe. To address this challenging problem, we develop a dedicated neural network based solution Hierarchical Attention based Food Recommendation (HAFR) which is capable of: 1) capturing the collaborative filtering effect like what similar users tend to eat; 2) inferring a user's preference at the ingredient level; and 3) learning user preference from the recipe's visual images. To evaluate our proposed method, we construct a large-scale dataset consisting of millions of ratings from AllRecipes.com. Extensive experiments show that our method outperforms several competing recommender solutions like Factorization Machine and Visual Bayesian Personalized Ranking with an average improvement of 12%, offering promising results in predicting user preference for food. Codes and dataset will be released upon acceptance

    Adipose Tissue as an Endocrine Organ

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    As one of the largest endocrine organs in the body, adipose tissue secrets a number of bioactive hormones, called adipokines. The expression and secretion of adipokines are tightly controlled and coordinated by physiological and pathophysiological conditions. In multiple physiological conditions, such as obesity, cold adaptation, exercise training, expression and secretion of adipokines are altered accordingly, which in turn modulate the metabolism of the whole body in endocrine, paracrine and autocrine manners. The varied changes in adipose tissues are pivotal mediators that aid the body to adapt to various physiological and pathological conditions, whereas almost all obesity-associated diseases are attributable to dysregulation of adipokines

    An adjustable approach to fuzzy soft set based decision making

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    AbstractMolodtsov’s soft set theory was originally proposed as a general mathematical tool for dealing with uncertainty. Recently, decision making based on (fuzzy) soft sets has found paramount importance. This paper aims to give deeper insights into decision making based on fuzzy soft sets. We discuss the validity of the Roy–Maji method and show its true limitations. We point out that the choice value designed for the crisp case is no longer fit to solve decision making problems involving fuzzy soft sets. By means of level soft sets, we present an adjustable approach to fuzzy soft set based decision making and give some illustrative examples. Moreover, the weighted fuzzy soft set is introduced and its application to decision making is also investigated

    Construction and Analysis of the Index of the Construction Capacity of Civic Science Literacy in China

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    The Construction of Chinese Civic Scientific Literacy (CCSL) was the outcome of the promotion and implementation of the Outline of National Scientific Literacy. It was significant to evaluate the development of CCSL in each area. In this paper, relevant statistical data of civic scientific literacy were abstracted from the Statistics of Science and Technology Popularization in China to construct the Index of the Construction of Chinese Civic Scientific Literacy (ICCCSL). Through the measurement analysis of the ICCCSL, the status of CCSL in each area was clearly reflected and a theoretical guideline was provided for the fair development of CCSL
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