169 research outputs found
Immunohistochemical phenotyping of mouse amacrine cell subtypes
The retina shares its embryological origin with the central nervous system (CNS), so the neural circuitry of the retina has long been considered to be a relatively simple model of the neural networks in the brain, sharing similar morphologies, neurotransmitters, and receptors. Amacrine cells are, by far, the largest group of inhibitory neurons in the retina that also have the most diverse range of phenotypes of any retinal neuron. Here, I describe an approach, using immunolabeling of cryosections, to identify different subclasses of amacrine cell in the mouse retina.</p
BMJ Opinion:Education and myopia: assessing the direction of causality by mendelian randomisation
Implikatur Dalam Wacana Pojok "Atan Sengat" Pada Surat Kabar Harian Riau Pos
This study is entitled "Implications in the" Atan Sengat "Corner in the Riau Pos Daily Newspaper. The problem in this research is the form and function of the implications contained in the "Atan Sengat" corner discourse in the January and February 2020 edition of Riau Pos daily newspaper. This research aims to describe the shape and function of the implicature contained in the "Atan Sengat corner" "In the Riau Pos daily newspaper January and February 2020 edition. The author uses the theory put forward by: Yule (2006), Nadar (2009), Cummings (2007), Chaer (2010), Alwi, et al. (2003), Leech (2011), Sugiyono (2012), and Moleong (2017). The research method used is the content analysis method. Data collection techniques used are documentation techniques, and hermeneutic techniques. Data analysis techniques include three stages, namely: data reduction, data presentation, and drawing conclusions. Based on the results of data analysis, it can be interpreted that the declarative implicature form is the dominant one found because it only delivers news or news about the situation around the speaker. The dominant implicature function is assertive because it is used to express, propose, brag, complain, express opinions, report. The conclusion of this research is the implicature form found is declarative as much as 28 data, imperative as much as 9 data, introgative as much as 9 data and as much as 14 data exlamative. The implicature function found is assertive, which is 39 data, 17 directives, and expressive which is 4 data, commissive and declarative not found in this study
Digital diabetic retinopathy screening – reliability of retinopathy detection and effect of JPEG
Global Bandits
Multiarmed bandits (MABs) model sequential decision-making problems, in which a learner sequentially chooses arms with unknown reward distributions in order to maximize its cumulative reward. Most of the prior works on MAB assume that the reward distributions of each arm are independent. But in a wide variety of decision problems - from drug dosage to dynamic pricing - the expected rewards of different arms are correlated, so that selecting one arm provides information about the expected rewards of other arms as well. We propose and analyze a class of models of such decision problems, which we call global bandits (GB). In the case in which rewards of all arms are deterministic functions of a single unknown parameter, we construct a greedy policy that achieves bounded regret, with a bound that depends on the single true parameter of the problem. Hence, this policy selects suboptimal arms only finitely many times with probability one. For this case, we also obtain a bound on regret that is independent of the true parameter; this bound is sublinear, with an exponent that depends on the informativeness of the arms. We also propose a variant of the greedy policy that achieves O(√T) worst case and O(1) parameter-dependent regret. Finally, we perform experiments on dynamic pricing and show that the proposed algorithms achieve significant gains with respect to the well-known benchmarks.Manuscript received April 13, 2017; revised December 21, 2017; accepted March 1, 2018. Date of publication April 12, 2018; date of current version November 16, 2018. The work of O. Atan and M. van der Schaar was supported by the NSF under Grant 1533983, Grant 1407712, and Grant 1462245. This paper was presented at the 2015 International Conference on Artificial Intelligence and Statistics (AISTATS), San Diego, CA, USA, May 2015. (Corresponding author: Onur Atan.) O. Atan and M. van der Schaar are with the Department of Electrical Engineering, University of California at Los Angeles, Los Angeles, CA 90095 USA (e-mail: [email protected]; [email protected])
The realm of non-profit organisations in Malaysia / Saunah Zainon, Ruhaya Atan and Yap Bee Wah
The realm of non-profit organisations in Malaysia discusses the essential elements of non-profit organisations (NPOs), emphasising important issues in terms of governance, framework as well as organisational background of charitable bodies. Each area is written in simple English and presented in a concise manner. Masters and doctoral students in the field of social responsibility, governance and the third sector of NPOs would find the book of valuable guidance, as the book was well researched based on the doctoral thesis of the author on NPOs in Malaysia, by using a practical approach on the challenges faced by NPOs, highlighting the case of Pertubuhan Kebajikan Anak Yatim Islam (PKAYIS). In Malaysia, NPOs must not comply with any mandatory regulations due to its tax-exempt status. This easy-to-read book provides the foundation in the wake of new regulations for NPOs as other developed countries
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