1,722,713 research outputs found
Boosting lithium-selenium batteries
No full textLithium-selenium (Li-Se) batteries have been recognized as one of the most promising candidates for next-generation energy storage devices due to their high energy density and high conductivity of Se[1,2]. However, the shuttle effect has become a major shackle restricting their commercial development[3,4]. Confining active material selenium inside the cathode is an effective method to suppress this phenomenon[5]. Moreover, rapid transportation of electrons and ions is indispensable for achieving high electrochemical performance Li-Se batteries[6].
Combining the microporous carbon particles that provide Se loading space and adsorption to polyselenides with a highly conductive meso/macropores network is a design direction to suppress the shuttle effect and achieve high reaction kinetics[7]. Microporous-rich metal-organic framework (MOF) and high conductivity CNTs become the ideal compositions. The current work presents tunable size zeolitic imidazolate framework-8 (ZIF-8) derived microporous carbon particles strung by MWCNTs (ZIF-8-C@MWCNTs-X, X = 1-5) with a simple in-situ solvothermal reaction [Figure 1][8]. The active Se is dispersed in the designed ZIF-8-C@MWCNTs host materials by a simple melt-diffusion method.Full Tex
The Applications of Machine Learning Algorithms in the Modeling of Estrogen-like Chemicals
No full textncreasing concern is being shown by the scientific community, government regulators, and the public about endocrine-disrupting chemicals that, in the environment, are adversely affecting human and wildlife health through a variety of mechanisms, mainly estrogen receptor-mediated mechanisms of toxicity. Because of the large number of such chemicals in the environment, there is a great need for an effective means of rapidly assessing endocrine-disrupting activity in the toxicology assessment process. When faced with the challenging task of screening large libraries of molecules for biological activity, the benefits of computational predictive models based on quantitative structure-activity relationships to identify possible estrogens become immediately obvious. Recently, in order to improve the accuracy of prediction, some machine learning techniques were introduced to build more effective predictive models. In this review we will focus our attention on some recent advances in the use of these methods in modeling estrogen-like chemicals. The advantages and disadvantages of the machine learning algorithms used in solving this problem, the importance of the validation and performance assessment of the built models as well as their applicability domains will be discussed
The Dilemma of On-Street Parking Policy: Exploring Cruising for Parking Using an Agent-Based Model
No full textContains fulltext :
86934.pdf (Publisher’s version ) (Closed access)
Contains fulltext :
86934-1.pdf (author's version ) (Closed access)Virtually all major cities around the world face severe parking problems
in their centers. While existing models of parking search and choice behavior do
provide insight into the basic dynamics of parking in cities, as well as into the
phenomenon of drivers cruising for on-street parking, virtually allmodels discussed
in the literature ignore a number of key factors that influence parking behavior and
parking dynamics. This paper makes a first step in this direction, by proposing a
non-spatial model of parking search and an explicit geosimulation model of the
parking process, termed PARKAGENT, which accounts for street network, drivers’
decisions and their destination. We employ both models to analyze the
phenomena of cruising for parking and compare the models’ outcomes, focusing
on the impact of space on parking dynamics. We estimate the main characteristics
of these dynamics, and specify the conditions under which spatial effects are, or are
not, important for analyzing parking. In particular, we demonstrate that traffic
engineers’ recommendation that about 15% of all on-street parking places should
remain vacant to ensure easy ingress and egress and prevent cruising for parking
can be decreased to 7% and even less, especially in case of relatively low parking
turnover levels. The paper ends with a short discussion, in which we explore the
implications of our model study for establishing urban parking policies
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
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