scholarly journals Using StatHand to train structural awareness and promote the development of statistic selection skills.

2019 ◽  
Author(s):  
Peter J. Allen ◽  
Jessica L. Fielding ◽  
Elizabeth C. East ◽  
Ryan H. S. Kay ◽  
Chloe S. Steele ◽  
...  
Keyword(s):  
Structural Awareness

Dynamic Data Driven Applications Systems (DDDAS) for Structural Awareness

2019 ◽  
Author(s):  
ERIK BLASCH ◽  
JAIMIE TILEY ◽  
MARTIN SCHMIDT ◽  
GERNOT POMRENKE
Keyword(s):  
Data Driven ◽  
Dynamic Data ◽  
Structural Awareness

scholarly journals The Evolution of Boris Pasternak’s Poetic Language (Based on the Poems Melʹnitsy and Balʹzak)

Slovene ◽  
2014 ◽  
Vol 3 (1) ◽  
pp. 171-192
Author(s):  
Roberta Salvatore
Keyword(s):  
Complex Structure ◽  
Text Structure ◽  
Poetic Language ◽  
New Public ◽  
Peculiar Form ◽  
Structural Awareness ◽  
Specific Meaning

The aim of this paper is to discuss how Pasternak’s poetic language changed over the 10-year period stretching from the mid-1910s to the mid-1920s. The transition from futurist text structure towards the search for an “unheard-of simplicity” will be shown through an analysis of two poems, Melʹnitsy and Balʹzak, written respectively in 1916 and 1927. We intend to prove that these texts contain the same set of images and themes, but they are constructed in such different ways that it becomes hard to identify their similarities. To show further evidence of this evolution, we will also carry out an analysis of the second version of Melʹnitsy, which was printed in 1929. As a result, we can say that Pasternak’s early poetry produces contradictory impressions, since an apparently direct self-expression coexists with a highly structural awareness. This puzzling effect can be explained as a peculiar form of communication, in which a specific meaning is hidden under what appears at the surface to be semantic incoherence. The later shift in Pasternak’s poetry towards a greater coherence and simplicity is due to his eagerness to reach a new public, one that—unlike his previous audience—was not able to penetrate the complex structure of his earlier approach.

scholarly journals The Process of Student's Mathematic Abstract from Spatial Intelligence

2019 ◽  
Vol 9 (2) ◽  
pp. 24
Author(s):  
Nor Khasanah ◽  
Nurkaidah Nurkaidah ◽  
Rosmala Dewi ◽  
Yusuf Arkham Prihandika
Keyword(s):  
Sampling Technique ◽  
Low Level ◽  
Spatial Intelligence ◽  
Mathematical Abstraction ◽  
Structural Awareness ◽  
Class Viii ◽  
Four Levels ◽  
Main Instrument ◽  
High Level ◽  
Mathematical Characteristics

<p>Every student must have mathematical abstraction skills. Research with a qualitative approach aims to identify the mathematical abstraction process of students when working on geometric material problems in terms of spatial intelligence. By using a descriptive design, apart from the researcher as the main instrument, the mathematical abstraction test, the spatial intelligence test, and the interview reference were used as auxiliary instruments. A total of 6 students from class VIII were selected through purposive sampling technique which was taken from each category of spatial ability which had been classified into high, medium and low criteria. Based on data analysis, students' mathematical abstraction can be grouped into 4 levels, namely: recognition, representation, structural abstraction, and structural awareness. The conclusions of this study are: 1) students with a high level of spatial intelligence can achieve all four levels of mathematical abstraction characteristics and activities, namely recognition, representation, structural abstraction, and structural awareness. 2) students with moderate spatial intelligence can only achieve two levels of mathematical characteristics and abstraction activities, namely recognition and representation. 3) students with low-level spatial intelligence are only able to achieve one level of mathematical abstraction characteristics and activity, namely recognition where students are able to remember previous activities and experiences related to the problems at hand. This shows that students with moderate and low-level spatial intelligence do not have adequate abstraction skills in the concept of geometry.</p>

scholarly journals Skin Lesion Segmentation by U-Net with Adaptive Skip Connection and Structural Awareness

2021 ◽  
Vol 11 (10) ◽  
pp. 4528
Author(s):  
Tran-Dac-Thinh Phan ◽  
Soo-Hyung Kim ◽  
Hyung-Jeong Yang ◽  
Guee-Sang Lee
Keyword(s):  
Skin Lesion ◽  
Normal Skin ◽  
Contour Detection ◽  
Object Localization ◽  
Lesion Segmentation ◽  
Low Contrast ◽  
Distance Map ◽  
Structural Awareness ◽  
Segmentation Boundary ◽  
Location Detection

Skin lesion segmentation is one of the pivotal stages in the diagnosis of melanoma. Many methods have been proposed but, to date, this is still a challenging task. Variations in size and color, the fuzzy boundary and the low contrast between lesion and normal skin are the adverse factors for deficient or excessive delineation of lesions, or even inaccurate lesion location detection. In this paper, to counter these problems, we introduce a deep learning method based on U-Net architecture, which performs three tasks, namely lesion segmentation, boundary distance map regression and contour detection. The two auxiliary tasks provide an awareness of boundary and shape to the main encoder, which improves the object localization and pixel-wise classification in the transition region from lesion tissues to healthy tissues. Moreover, concerning the large variation in size, the Selective Kernel modules, which are placed in the skip connections, transfer the multi-receptive field features from the encoder to the decoder. Our methods are evaluated on three publicly available datasets: ISBI2016, ISBI 2017 and PH2. The extensive experimental results show the effectiveness of the proposed method in the task of skin lesion segmentation.

scholarly journals Correlation of inhibitions to structural aspects of chloroplast proteins: A murburn perspective

2021 ◽  
Author(s):  
Kelath Murali Manoj ◽  
Daniel Andrew Gideon ◽  
Vijay Nirusimhan
Keyword(s):  
Physiological Mechanism ◽  
Mitochondrial Oxidative Phosphorylation ◽  
Light Harvesting Complexes ◽  
Ps Ii ◽  
Ps I ◽  
Structural Awareness ◽  
Photosynthetic Machinery ◽  
Electron Transfers ◽  
Comparative Logic ◽  
Structural Aspects

In this manuscript, we we first present a brief review of the structural awareness on chloroplasts, the two photosystems (PS I &amp; PS II, along with the respective light harvesting complexes and chlorophyll binding proteins). Thereafter, with an in silico approach, we attempt to correlate the photoactive proteins’ inhibition by various class of molecules, particularly weedicides. The prevailing understanding relies on topographical-affinity driven binding based explanations for electron transfers and inhibitions. The murburn model of photosynthesis deems DROS (diffusible reactive oxygen species) mediated constructive outcomes as the physiological mechanism for overall outcomes. We unravel key anomalous observations on the inhibitory aspects of the photosynthetic machinery, which were also noted in DROS involving systems like microsomal xenobiotic metabolism and mitochondrial oxidative phosphorylation. Via a comparative logic and applying Ockham’s razor, we infer that inhibitory outcomes in several photolysis-photophosphorylation processes are better explained by the murburn model.

scholarly journals Structural awareness mitigates the effect of delay in human causal learning

2013 ◽  
Vol 41 (6) ◽  
pp. 904-916 ◽  
Author(s):  
W. James Greville ◽  
Adam A. Cassar ◽  
Mark K. Johansen ◽  
Marc J. Buehner
Keyword(s):  
Causal Learning ◽  
Human Causal Learning ◽  
Structural Awareness

Dynamic Characterization and Control of a Metamaterials-Inspired Smart Composite

2018 ◽  
Author(s):  
Timothy Emerson ◽  
Alessio Lozzi ◽  
He Bai ◽  
James Manimala
Keyword(s):  
Active Control ◽  
Electrical Power ◽  
Structural Defects ◽  
Smart Composite ◽  
Smart Composites ◽  
Structural Awareness ◽  
Potential Applications ◽  
Harvesting Process ◽  
Neodymium Magnets ◽  
Tunable Frequency

The potential to utilize metamaterials concepts to realize smart composites with adaptive mechanical wave manipulation, energy harvesting, and structural health monitoring functionalities was investigated. A proof-of-concept metamaterials-inspired smart composite having CFRP face sheets bonded to additively manufactured polymer cores equipped with harvesting coils and sandwiching a chemically-etched multifunctional plate was fabricated. This plate consists of a periodic array of re-entrant cantilever beam resonators with center-loaded neodymium magnets, which acts as the multifunctional kernel. Experiments demonstrate isolation of a payload from mechanical disturbances within tunable frequency bands. Moreover, energy sequestered by resonators is harvested as useable electrical power. Using a coupled electromechanical harvesting model, predictions for multifunctional responses were obtained and correlated with experiments. The harvesting circuitry doubles as an active control system for the resonators as well as a sensing and monitoring system to detect structural defects. Both offline and online active control algorithms were investigated to reduce phase shift between harvesting coils, thereby improving the efficacy of the harvesting process. Potential applications include use as structural material for equipment or vehicles used in adverse or remote environments, where maximizing energy recovery and structural awareness in addition to payload isolation is desirable.

scholarly journals STUDENTS’ REFLECTIVE ABSTRACTION ABILITY ON LINEAR ALGEBRA PROBLEM SOLVING AND RELATIONSHIP WITH PREREQUISITE KNOWLEDGE

2020 ◽  
Vol 10 (1) ◽  
pp. 1
Author(s):  
Rahayu Kariadinata
Keyword(s):  
Problem Solving ◽  
Linear Algebra ◽  
Achievement Level ◽  
Study Program ◽  
Reflective Abstraction ◽  
Education Study ◽  
Structural Awareness ◽  
Prerequisite Knowledge ◽  
The Relationship ◽  
Looking Back

This study aims to describe the achievement of the ability of students' reflective abstraction in solving Linear Algebra problems and the relationship with prerequisite knowledge. The important of this research because the characteristic of Linear Algebra requiring reflectif abstraction skill that must be support by the prerequisite knowledge. The reflective abstraction abilities studied in this study are level, i.e.1) recognition,2) representation, 3) structural abstraction, and 4) structural awareness. These stages are adjusted to Polya's problem solving stages, namely: understanding the problem, devising a plan, carrying out the plan, and looking back. This type of research is descriptive-quantitative. The subjects of this study were students of the Mathematics Education Study Program, Faculty of Tarbiyah and Teacher Training of UIN Sunan Gunung Djati Bandung Indonesia. Collecting data through tests and interviews, data were analyzed with percentage and the pearson product-moment correlation.The results showed that the achievement level  consisiting of ) recognition,2) representation, 3) structural abstraction, and 4) structural awareness of the students’ reflective abstraction abilities on linear algebra problem solving are very good, this can be seen from the percentage achieved at stages of the recognition,the representation,the structural abstraction, and the structural awareness which is associated with Polya problem solving measures above an average of 73,31% (moderat category); there are relationship between students' reflective abstraction abilities and their prerequisite knowledge; and prerequisite knowledge influences the students’reflective abstraction abilities

Greimas embodied: How kinesthetic opposition grounds the semiotic square

Semiotica ◽  
2017 ◽  
Vol 2017 (214) ◽  
Author(s):  
Jamin Pelkey
Keyword(s):  
Deep Structure ◽  
Literary Analysis ◽  
Music Video ◽  
Square Of Opposition ◽  
Bodily Movement ◽  
Cultural Ideologies ◽  
Recent Scholarship ◽  
Recent Developments ◽  
Structural Awareness ◽  
The Square Of Opposition

AbstractAccording to Greimas, the semiotic square is far more than a heuristic for semantic and literary analysis. It represents the generative “deep structure” of human culture and cognition which “define the fundamental mode of existence of an individual or of a society, and subsequently the conditions of existence of semiotic objects”. The veracity of this bold hypothesis has received little attention in the literature. In response, this paper traces the history and development of the square of opposition from Aristotle to Greimas and beyond, to propose that the relations modeled in these diagrams are rooted in gestalt memories of kinesthesia and proprioception from which we derive basic structural awareness of opposition and contrast—including verticality, bilaterality, transversality, markedness and analogy. The paper draws on findings in the phenomenology of movement, recent developments in the analysis of logical opposition, recent scholarship in (post)Greimasian semiotics and prescient insights from Greimas himself. The argument is further tested via multimodal content analyses of a popular music video—highlighting relationships the semiotic square shares with mundane cultural ideologies and showing how these relationships might be traced to memory structures of bodily movement. The paper highlights the neglected relevance of embodied chiasmus and illustrates the enduring relevance of Greimasean thought.

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