scholarly journals Toward a Theory of Childhood Learning Disorders, Hyperactivity, and Aggression

2012 ◽  
Vol 2012 ◽  
pp. 1-19 ◽  
Author(s):  
Anthony R. Mawson
Keyword(s):  
Cognitive Deficits ◽  
Cognitive Skills ◽  
Sensory Stimulation ◽  
Learning Disorders ◽  
Multidisciplinary Research ◽  
Retinoid Metabolism ◽  
System A ◽  
Cognition And Learning ◽  
And Performance ◽  
Physical Treatments

Learning disorders are often associated with persistent hyperactivity and aggression and are part of a spectrum of neurodevelopmental disorders. A potential clue to understanding these linked phenomena is that physical exercise and passive forms of stimulation are calming, enhance cognitive functions and learning, and are recommended as complementary treatments for these problems. The theory is proposed that hyperactivity and aggression are intense stimulation-seeking behaviors (SSBs) driven by increased brain retinergic activity, and the stimulation thus obtained activates opposing nitrergic systems which inhibit retinergic activity, induce a state of calm, and enhance cognition and learning. In persons with cognitive deficits and associated behavioral disorders, the retinergic system may be chronically overactivated and the nitrergic system chronically underactivated due to environmental exposures occurring pre- and/or postnatally that affect retinoid metabolism or expression. For such individuals, the intensity of stimulation generated by SSB may be insufficient to activate the inhibitory nitrergic system. A multidisciplinary research program is needed to test the model and, in particular, to determine the extent to which applied physical treatments can activate the nitrergic system directly, providing the necessary level of intensity of sensory stimulation to substitute for that obtained in maladaptive and harmful ways by SSB, thereby reducing SSB and enhancing cognitive skills and performance.

Application Fuzzy Logic System for Accurate Sheet Trim Shower Position

2019 ◽  
Vol 3 (1) ◽  
pp. 186-192
Author(s):  
Yudi Wibawa
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Dc Motor ◽  
Automation System ◽  
Paper Making ◽  
System A ◽  
Accurate Position ◽  
And Performance ◽  
Better Than ◽  
Logic System

This paper aims to study for accurate sheet trim shower position for paper making process. An accurate position is required in an automation system. A mathematical model of DC motor is used to obtain a transfer function between shaft position and applied voltage. PID controller with Ziegler-Nichols and Hang-tuning rule and Fuzzy logic controller for controlling position accuracy are required. The result reference explains it that the FLC is better than other methods and performance characteristics also improve the control of DC motor.

scholarly journals Effect of computer-assisted-learning and simulation clinics on dental students’ cognitive and performance skills: panoramic image errors related to patient’s head position

2020 ◽  
Vol 49 (7) ◽  
pp. 20200154
Author(s):  
Ann Wenzel ◽  
Louise Hauge Matzen ◽  
Rubens Spin-Neto ◽  
Lars Schropp
Keyword(s):  
Test Scores ◽  
Cognitive Skills ◽  
Dental Students ◽  
Head Position ◽  
Cognitive Test ◽  
Computer Assisted ◽  
Patient Exposure ◽  
Performance Skills ◽  
Positioning Errors ◽  
And Performance

Objectives: To assess dental students’ ability to recognize head positioning errors in panoramic (PAN) images after individual learning via computer-assisted-learning (CAL) and in a simulation clinic (SIM). Both cognitive skills and performance in patient examination were assessed. Methods and materials: 60 students (mean age 23.25 years) participated in lectures on the relation between PAN-image errors and patient’s head position. Immediately after they took a test, based on which they were randomized to three groups: control (CON) group, CAL group, and SIM group (both CAL and training in a simulation clinic with a phantom). 4–5 weeks after intervention/no intervention, all students individually examined a patient with PAN-exposure. A blinded rater, not knowing group allocation, supervised patient exposure and assessed student’s performance (correct/incorrect head position in three planes). 1–2 weeks after, the students scored positioning errors in 40 PAN-images. Differences in cognitive test scores between groups were evaluated by ANOVA and in patient examination by χ2 tests, and within-group differences by sign-tests. Results: No statistically significant difference in cognitive test scores was seen between the SIM and CAL group, while the CON group scored lower (p < 0.003). In all groups, several students positioned the patient incorrectly in the Frankfort horizontal plane. All students performed well in the sagittal plane. Students in SIM group positioned the patient more correctly in the coronal plane. Conclusions: Training with CAL increased students’ cognitive skills compared with a control group. Simulated patient exposure with a phantom increased to some extent their performance skills in examination of patients.

scholarly journals Modeling and Implementation of MPPT based Wind Energy System Using Cuckoo Search

2018 ◽  
Vol 7 (2.7) ◽  
pp. 671
Author(s):  
Kaleem SK ◽  
Rama Subbanna S
Keyword(s):  
Wind Energy ◽  
Control Strategy ◽  
Cuckoo Search ◽  
Energy System ◽  
System A ◽  
Wind Turbine System ◽  
Proposed Model ◽  
Wind Energy System ◽  
Mppt Controller ◽  
And Performance

This paper presents adjustable speed generators for wind turbines. In order to improve the potential and performance of wind turbine system this paper proposes a concept DFIG. Generally wind nature is not fixed it varies linearly w.r.t time, hence, a MPPT controller is proposed in this paper. This paper presents the DFIG wind energy system. A Control strategy implemented and controlled by framing rotor reference frame axis in terms of direct and quadrature axis coordinates. A PI based RSC and GSC controllers are introduced to control the power through the wind system to grid. This proposed model is implemented and verified by using Matlab/Simulink.  

scholarly journals Three Phase Resolution Transmitarray Element for Electronically Reconfigurable Transmitarrays

2019 ◽  
Vol 2019 (2) ◽  
pp. 106-113
Author(s):  
Nguyễn Minh Thiện ◽  
Nguyễn Hữu Minh ◽  
Nguyễn Bình Dương
Keyword(s):  
Phase Change ◽  
Phase State ◽  
Main Beam ◽  
System A ◽  
Full Wave ◽  
Three Phase ◽  
Phase Resolution ◽  
Waveguide System ◽  
Em Simulation ◽  
And Performance

Electrical beam scanning is a feature enabling an antenna array to electrically control its main beam toward a desired direction. In this paper, a three-phase state element for electronically reconfigurable transmitarrays is presented. The element is made up of C-patches and modified ring slots loaded rectangular gaps. By controlling the bias state of four p-i-n diodes, three phase states are obtained. The dimension of the element is optimized by using full-wave EM simulation and performance of the element is validated by both simulation and an experimental waveguide system. A transmitarrayconsistingof12×12elementshasbeensimulated to validate the steering capabilities. Experimental results indicate the element has good characteristics and excellent phase change capabilities.

scholarly journals Dissecting Biological Pathways of Psychopathology using Cognitive Genomics

2021 ◽  
Author(s):  
Max Lam ◽  
Chia-Yen Chen ◽  
W. David Hill ◽  
Charley Xia ◽  
Ruoyu Tian ◽  
...  
Keyword(s):  
Early Childhood ◽  
Correlation Analysis ◽  
Cognitive Ability ◽  
Genetic Correlation ◽  
Cognitive Deficits ◽  
Cognitive Skills ◽  
Biological Pathways ◽  
General Cognitive Ability ◽  
Gene Sets ◽  
Cognitive Dimensions

Cognitive deficits are known to be related to most forms of psychopathology. Here, we perform local genetic correlation analysis as a means of identifying independent segments of the genome that show biologically interpretable pleiotropic associations between cognitive dimensions and psychopathology. We identified collective segments of the genome, which we call "meta-loci", that showed differential pleiotropic patterns for psychopathology relative to either General Cognitive Ability (GCA) or Non-Cognitive Skills (NCS). We observed that neurodevelopmental gene sets expressed during the prenatal-early childhood predominated in GCA-relevant meta-loci, while post-natal synaptic gene sets were more involved in NCS-relevant meta-loci. Notably, we found that GABA-ergic, cholinergic, and glutamatergic genes drove pleiotropic relationships within dissociable NCS meta-loci.

Aerobic Evaluation in Elite Slalom Kayakers Using a Tethered Canoe System: A New Proposal

2017 ◽  
Vol 12 (7) ◽  
pp. 864-871
Author(s):  
Homero Gustavo Ferrari ◽  
Leonardo H.D. Messias ◽  
Ivan G.M. Reis ◽  
Claudio A. Gobatto ◽  
Filipe A.B. Sousa ◽  
...  
Keyword(s):  
Low Cost ◽  
Critical Force ◽  
Noninvasive Method ◽  
Maximal Lactate Steady State ◽  
National Team ◽  
System A ◽  
And Performance ◽  
The Relationship ◽  
New Strategies ◽  
Aerobic Evaluation

Background:Among other aspects, aerobic fitness is indispensable for performance in slalom canoe.Purpose:To propose the maximal-lactate steady-state (MLSS) and critical-force (CF) tests using a tethered canoe system as new strategies for aerobic evaluation in elite slalom kayakers. In addition, the relationship between the aerobic parameters from these tests and the kayakers’ performances was studied.Methods:Twelve male elite slalom kayakers from the Brazilian national team participated in this study. All tests were conducted using a tethered canoe system to obtain the force records. The CF test was applied on 4 d and analyzed by hyperbolic (CFhyper) and linear (CFlin) mathematical models. The MLSS intensity (MLSSint) was obtained by three 30-min continuous tests. The time of a simulated race was considered the performance index.Results:No difference (P < .05) between CFhyper (65.9 ± 1.6 N) and MLSSint (60.3 ± 2.5 N) was observed; however, CFlin (71.1 ± 1.7 N) was higher than MLSSint. An inverse and significant correlation was obtained between MLSSint and performance (r = –.67, P < .05).Conclusion:In summary, MLSS and CF tests on a tethered canoe system may be used for aerobic assessment of elite slalom kayakers. In addition, CFhyper may be used as an alternative low-cost and noninvasive method to estimate MLSSint, which is related with slalom kayakers’ performance.

scholarly journals Social Cognition through the Lens of Cognitive and Clinical Neuroscience

2018 ◽  
Vol 2018 ◽  
pp. 1-18 ◽  
Author(s):  
Maria Arioli ◽  
Chiara Crespi ◽  
Nicola Canessa
Keyword(s):  
Decision Making ◽  
Social Cognition ◽  
Cognitive Deficits ◽  
Cognitive Skills ◽  
Social Cognitive ◽  
Acquired Brain Injury ◽  
Clinical Neuroscience ◽  
Pathological Conditions ◽  
The Social ◽  
Social Cognitive Deficits

Social cognition refers to a set of processes, ranging from perception to decision-making, underlying the ability to decode others’ intentions and behaviors to plan actions fitting with social and moral, besides individual and economic considerations. Its centrality in everyday life reflects the neural complexity of social processing and the ubiquity of social cognitive deficits in different pathological conditions. Social cognitive processes can be clustered in three domains associated with (a) perceptual processing of social information such as faces and emotional expressions (social perception), (b) grasping others’ cognitive or affective states (social understanding), and (c) planning behaviors taking into consideration others’, in addition to one’s own, goals (social decision-making). We review these domains from the lens of cognitive neuroscience, i.e., in terms of the brain areas mediating the role of such processes in the ability to make sense of others’ behavior and plan socially appropriate actions. The increasing evidence on the “social brain” obtained from healthy young individuals nowadays constitutes the baseline for detecting changes in social cognitive skills associated with physiological aging or pathological conditions. In the latter case, impairments in one or more of the abovementioned domains represent a prominent concern, or even a core facet, of neurological (e.g., acquired brain injury or neurodegenerative diseases), psychiatric (e.g., schizophrenia), and developmental (e.g., autism) disorders. To pave the way for the other papers of this issue, addressing the social cognitive deficits associated with severe acquired brain injury, we will briefly discuss the available evidence on the status of social cognition in normal aging and its breakdown in neurodegenerative disorders. Although the assessment and treatment of such impairments is a relatively novel sector in neurorehabilitation, the evidence summarized here strongly suggests that the development of remediation procedures for social cognitive skills will represent a future field of translational research in clinical neuroscience.

Challenges to Use Recommender Systems to Enhance Meta-Cognitive Functioning in Online Learners

Data Mining ◽  
2013 ◽  
pp. 1916-1935
Author(s):  
Mingming Zhou ◽  
Yabo Xu
Keyword(s):  
Learning Environment ◽  
Cognitive Skills ◽  
Cognitive Activity ◽  
Cognitive Strategies ◽  
Monitoring And Control ◽  
Online Learners ◽  
Data Mining Algorithms ◽  
E Learning ◽  
And Performance ◽  
Mining Algorithms

A wealth of research has shown that meta-cognition plays a crucial role in the promotion of effective school learning. In most of the e-learning environment designs, however, meta-cognitive strategies have generally been neglected, and therefore, satisfactory uses of these strategies have rarely been realized. Most learners are not even aware of what they have been studying. If the learning system could automatically guide and intelligently recommend learning activities or strategies to facilitate student monitoring and control of their learning, it would favor and improve their learning process and performance. Unfortunately, nearly no e-learning systems to date have attempted to do so. In this chapter, we first described the need for enhancing meta-cognitive skills in e-learning environment, followed by an outline of major challenges for meta-cognitive activity recommendations. We then proposed to adopt data mining algorithms (i.e., content-based and sequence-based recommendation techniques) to meet the identified issues with a toy example.

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