Advance Research of Geometry Face Model under VRML Complex Object Muster

2010 ◽  
Author(s):  
Xinyu Duan ◽  
Xiafei Hao
Keyword(s):  
Complex Object ◽  
Face Model ◽  
Advance Research

Exploring Barriers to Doctoral Education in Communication Sciences and Disorders: Insights From Practicing Professionals

2020 ◽  
Vol 5 (6) ◽  
pp. 1552-1563
Author(s):  
Denise A. Tucker ◽  
Mary V. Compton ◽  
Sarah J. Allen ◽  
Robert Mayo ◽  
Celia Hooper ◽  
...  
Keyword(s):  
Doctoral Students ◽  
Online Survey ◽  
Academic Research ◽  
Doctoral Degree ◽  
Full Time ◽  
Doctoral Study ◽  
Doctoral Research ◽  
Part Time ◽  
Advance Research ◽  
Doctor Of Philosophy

Purpose The intended purpose of this research note is to share the findings of a needs assessment online survey of speech and hearing professionals practicing in North Carolina to explore their interest in pursuing a research-focused PhD in Communication Sciences and Disorders (CSD) and to document their perceptions of barriers to pursing a PhD in CSD. In view of the well-documented shortage of doctor of philosophy (PhD) faculty to attract, retain, and mentor doctoral students to advance research and to prepare future speech and hearing professionals, CSD faculty must assess the needs, perceptions, and barriers prospective students encounter when considering pursuing a doctoral research degree in CSD. Method The article describes the results of a survey of 242 speech and hearing professionals to investigate their interest in obtaining an academic research-focused PhD in CSD and to solicit their perceived barriers to pursuing a research doctoral degree in CSD. Results Two thirds of the respondents (63.6%) reported that they had considered pursuing a PhD in CSD. Desire for knowledge, desire to teach, and work advancement were the top reasons given for pursuing a PhD in CSD. Eighty-two percent of respondents had no interest in traditional full-time study. Forty-two percent of respondents indicated that they would be interested in part-time and distance doctoral study. The barriers of time, distance, and money emerged as those most frequently identified barriers by respondents. Conclusion The implications inform higher education faculty on how they can best address the needs of an untapped pool of prospective doctoral students in CSD.

MARKOV MATHEMATICAL MODEL OF DYNAMIC ADAPTIVE TESTING OF AN ACTIVE AGENT

2018 ◽  
pp. 29-35
Author(s):  
N. V. Brovka ◽  
P. P. Dyachuk ◽  
M. V. Noskov ◽  
I. P. Peregudova
Keyword(s):  
Mathematical Model ◽  
Finite State Machine ◽  
Active Agent ◽  
Adaptive Testing ◽  
State Machine ◽  
Learning Activities ◽  
Independent Learning ◽  
Complex Object ◽  
Total Reward ◽  
Finite State

The problem and the goal.The urgency of the problem of mathematical description of dynamic adaptive testing is due to the need to diagnose the cognitive abilities of students for independent learning activities. The goal of the article is to develop a Markov mathematical model of the interaction of an active agent (AA) with the Liquidator state machine, canceling incorrect actions, which will allow mathematically describe dynamic adaptive testing with an estimated feedback.The research methodologyconsists of an analysis of the results of research by domestic and foreign scientists on dynamic adaptive testing in education, namely: an activity approach that implements AA developmental problem-solving training; organizational and technological approach to managing the actions of AA in terms of evaluative feedback; Markow’s theory of cement and reinforcement learning.Results.On the basis of the theory of Markov processes, a Markov mathematical model of the interaction of an active agent with a finite state machine, canceling incorrect actions, was developed. This allows you to develop a model for diagnosing the procedural characteristics of students ‘learning activities, including: building axiograms of total reward for students’ actions; probability distribution of states of the solution of the problem of identifying elements of the structure of a complex object calculate the number of AA actions required to achieve the target state depending on the number of elements that need to be identified; construct a scatter plot of active agents by target states in space (R, k), where R is the total reward AA, k is the number of actions performed.Conclusion.Markov’s mathematical model of the interaction of an active agent with a finite state machine, canceling wrong actions allows you to design dynamic adaptive tests and diagnostics of changes in the procedural characteristics of educational activities. The results and conclusions allow to formulate the principles of dynamic adaptive testing based on the estimated feedback.

DECOMPOSITION METHOD FOR DETERMINING THE HIGH REFLECTED SECTIONS OF A COMPLEX OBJECT SURFACE

2018 ◽  
Vol 77 (11) ◽  
pp. 945-956 ◽  
Author(s):  
N. N. Kolchigin ◽  
M. N. Legenkiy ◽  
A. A. Maslovskiy ◽  
А. Demchenko ◽  
S. Vinnichenko ◽  
...  
Keyword(s):  
Decomposition Method ◽  
Complex Object ◽  
Object Surface

Profiles of Autonomic Activity in Autism Spectrum Disorder with and without Anxiety

2019 ◽  
Author(s):  
Valentina Parma ◽  
Nicola Cellini ◽  
Lisa Guy ◽  
Alana McVey ◽  
Keiran Rump ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Anxiety Disorders ◽  
Physiological Activity ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Parasympathetic Activity ◽  
Typically Developing ◽  
Physiological Profile ◽  
School Aged Children ◽  
Advance Research

Objective: Anxiety disorders are common among youth with autism spectrum disorder (ASD). Both anxiety and ASD are associated with differences in physiological activity. To date, few studies have investigated the physiological profile of youth with ASD and even fewer have systematically assessed how the co-occurrence of anxiety disorders and ASD modulates resting physiological activity.Method: The aim of the present study was to evaluate sympathetic and parasympathetic activity at rest in 75 school-aged children and adolescents with ASD, with (ASD+Anxiety = 22, 6F) and without co-occurring anxiety (ASD Alone =15, 6F) and to compare their physiological profile with that of matched typically developing controls (TDC) with (Anxiety Alone = 16, 6F) and without co-occurring anxiety disorders (TDC = 22, 8F).Results: Results indicated reduced sympathetic and parasympathetic activity at rest in ASD as compared to TDC youth without anxiety. The ASD+Anxiety and Anxiety Alone groups showed different sympathetic, but similar parasympathetic, activity. Correlational, multivariate, and regression analyses indicated that the four groups differed among several physiological and subjective measures.Conclusion: These findings suggest that ASD and anxiety are associated with distinct profiles of autonomic nervous system activity that cannot be reduced to either the sympathetic or parasympathetic branch alone. An autonomic profile-based approach is more likely to advance research, diagnosis, and treatment of ASD and anxiety than unidimensional, single-modality approaches.

Hierarchical composition in complex object drawing

2019 ◽  
Author(s):  
Michiru Makuuchi
Keyword(s):  
Hierarchical Structure ◽  
Homo Sapiens ◽  
Hierarchical Structures ◽  
Target Object ◽  
Point Of View ◽  
Complex Object ◽  
Complex Objects ◽  
Cognitive Domains ◽  
Adult Participants ◽  
Symbolic Cognition

Symbolic behaviours such as language, music, drawing, dance, etc. are unique to humans and are found universally in every culture on earth1. These behaviours operate in different cognitive domains, but they are commonly characterised as linear sequences of symbols2,3. One of the most prominent features of language is hierarchical structure4, which is also found in music5,6 and mathematics7. Current research attempts to address whether hierarchical structure exists in drawing. When we draw complex objects, such as a face, we draw part by part in a hierarchical manner guided by visual semantic knowledge8. More specifically, we predicted how hierarchical structure emerges in drawing as follows. Although the drawing order of the constituent parts composing the target object is different amongst individuals, some parts will be drawn in succession consistently, thereby forming chunks. These chunks of parts would then be further integrated with other chunks into superordinate chunks, while showing differential affinity amongst chunks. The integration of chunks to an even higher chunk level repeats until finally reaching the full object. We analysed the order of drawing strokes of twenty-two complex objects by twenty-five young healthy adult participants with a cluster analysis9 and demonstrated reasonable hierarchical structures. The results suggest that drawing involves a linear production of symbols with a hierarchical structure. From an evolutionary point of view, we argue that ancient engravings and paintings manifest Homo sapiens’ capability for hierarchical symbolic cognition.

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