scholarly journals Diagnóstico de indicadores de violencia escolar en adolescentes

Author(s):  
Beatriz Mabel Pacheco-Amigo

The adolescent manifests a set of interests that, through school violence, make up behavioral and emotional conflicts in the course of development and social adjustment, therefore, the description and measurement of the main types of violence projects a danger in school areas, especially due to the normalization of such aggressiveness. Objective: to diagnose the type of aggressive behavior of adolescents aged 12 to 15 years, through screening tests, thus integrating focus groups within an institutionalized educational framework, through a study quantitative type of descriptive-transversal cut, not experimental. Methodology: To achieve the objective, various evaluation techniques were used, the first was Resolution and perspective of school violence conflict, followed by the Instrument for School Harassment and Violence (AVE), which based the diagnosis phase in an analyzed sample of n = 568 students. Contribution: the high level of parenting neglect could be identified, as well as the deterioration of self-concept, suicidal ideas and lack of attachment to parental figures.

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ha Min Son ◽  
Wooho Jeon ◽  
Jinhyun Kim ◽  
Chan Yeong Heo ◽  
Hye Jin Yoon ◽  
...  

AbstractAlthough computer-aided diagnosis (CAD) is used to improve the quality of diagnosis in various medical fields such as mammography and colonography, it is not used in dermatology, where noninvasive screening tests are performed only with the naked eye, and avoidable inaccuracies may exist. This study shows that CAD may also be a viable option in dermatology by presenting a novel method to sequentially combine accurate segmentation and classification models. Given an image of the skin, we decompose the image to normalize and extract high-level features. Using a neural network-based segmentation model to create a segmented map of the image, we then cluster sections of abnormal skin and pass this information to a classification model. We classify each cluster into different common skin diseases using another neural network model. Our segmentation model achieves better performance compared to previous studies, and also achieves a near-perfect sensitivity score in unfavorable conditions. Our classification model is more accurate than a baseline model trained without segmentation, while also being able to classify multiple diseases within a single image. This improved performance may be sufficient to use CAD in the field of dermatology.


1993 ◽  
Vol 99 (3) ◽  
pp. 286-288 ◽  
Author(s):  
Frederick S. Nolte ◽  
Janis M. Williams ◽  
Kathyrn L. Maher ◽  
Everly Metchock

2011 ◽  
Vol 101 (5) ◽  
pp. 371-384 ◽  
Author(s):  
Michael Kinchington ◽  
Kevin Ball ◽  
Geraldine Naughton

Background: Comfort evaluation techniques are commonplace in medicine. However, measures of lower-limb comfort are infrequently used in the sporting environment. The purpose of this study was to develop an instrument for measuring lower-limb comfort, which will extend previous work in the field of injury awareness. Methods: A lower-limb comfort index (LLCI) was developed for use in the environment of elite sport. Forty professional footballers participated in development of the index. The study had three components. A critical appraisal of the literature established the need for an LLCI. The second phase involved 20 professional footballers establishing and testing the components of the comfort index as an instrument for measuring comfort. Results: Nonparametric statistics (the McNemar test) in phase 2 indicated that the LLCI demonstrated good responsiveness to suitability (P = .019) and ease of use (P < .01). After a high level of agreement for responses, the third stage required 20 players to pilot test the reliability of the LLCI in a controlled environment. Repeated measures of difference between two periods for sum comfort (intraclass correlation coefficient = 0.99) and individual anatomical segments (κ = 0.72–1) provided confidence that the comfort index was reliable. Conclusions: The LLCI showed good trait construct to provide confidence to conduct a future study to investigate interrater consistency in a wider cohort of professional footballers under different conditions, such as match-day and training-week environments. (J Am Podiatr Med Assoc 101(5): 371–384, 2011)


Plant Disease ◽  
2016 ◽  
Vol 100 (10) ◽  
pp. 2145-2151 ◽  
Author(s):  
Sylwia Okoń ◽  
Edyta Paczos-Grzęda ◽  
Tomasz Ociepa ◽  
Aneta Koroluk ◽  
Sylwia Sowa ◽  
...  

The aim of the present study was to identify Avena sterilis genotypes demonstrating a high level of resistance against oat powdery mildew, using host-pathogen tests. The study was conducted on 350 A. sterilis genotypes from different parts of the world. Six single-spore isolates of Blumeria graminis (DC.) f. sp. avenae, which demonstrated different levels of virulence to control lines and cultivars, were used in host-pathogen screening tests. To confirm the resistant response of selected genotypes, 13 other isolates were used. Reactions to the isolates were grouped into three classes: resistant, intermediate, and susceptible. Susceptible cultivars Sam and Fuchs were used as controls to estimate the degree of infection. The results of the screening test showed that 10 genotypes were classified as resistant. The second test based on 13 other isolates revealed that only four of the 10 genotypes were a valuable source of resistance against powdery mildew. The identified genotypes may be used in oat breeding programs to increase the level of resistance against powdery mildew. First, however, further studies aimed at identifying whether this resistance is conditioned by a single gene or combinations of different genes are required.


Author(s):  
Vladimir Ortega-Gonza´lez ◽  
Samir Garbaya ◽  
Fre´de´ric Merienne

In this paper we briefly describe an approach for understanding the psychoacoustic and perceptual effects of what we have identified as the high-level spatial properties of 3D audio. The necessity of this study is firstly presented within the context of interactive applications such as Virtual Reality and Human Computer Interfaces. As a result of the bibliographic research in the field we identified the main potential functions of 3D audio spatial stimulation in interactive applications beyond traditional sound spatialization. In the same sense, a classification of the high-level aspects involved in spatial audio stimulation is proposed and explained. Immediately, the case of study, the experimental methodology and the framework are described. Finally, we present the expected results as well as their usefulness within the context of a larger project.


2010 ◽  
Vol 01 (04) ◽  
pp. 377-393 ◽  
Author(s):  
H.J. Kam ◽  
Y.M. Shin ◽  
S.M. Cho ◽  
S.Y. Kim ◽  
K.W. Kim ◽  
...  

Summary Objective: Questionnaire-based ADHD screening tests may not always be objective or accurate, owing to both subjectivity and prejudice. Despite attempts to develop objective measures to characterize ADHD, no widely applicable index currently exists. The principal aim of this study was to develop a decision support model for ADHD screening by monitoring children’s school activities using a 3-axial actigraph. Methods: Actigraphs were placed on the non-dominant wrists of 153 children for 3 hours, while they were at school. Children who scored high on the questionnaires were clinically examined by child psychiatrists, who then confirmed ADHD. Mean, variance, and ratios of low-level (0.5-1.0G) and high-level (1.6-3.2G) activity were extracted as activity features from 142 children (10 ADHD, 132 non-ADHD). Two decision-tree models were constructed using the C5.0 algorithm: [A] from whole hours (class + playtime) and [B] during classes. Accuracy, sensitivity, and specificity were evaluated. PPV, NPV, likelihood ratio, and AUC were also calculated for evaluation. Results: [Model A] One child without ADHD was misclassified, resulting in an accuracy score of 99.30%. Sensitivity and NPV were 1.0000. Specificity and PPV were 0.992 and 0.803-0.909, respectively. [Model B] Two children without ADHD were misclassified, resulting in an accuracy score of 98.59%. Specificity and PPV were scored at 0.985 and 0.671-0.832, respectively. Conclusion: The selected features were consistent with the findings of previous studies. Objective screening of latent patients with ADHD can be accomplished with a simple watch-like sensor, which is worn for just a few hours while the child attends school. The model proposed herein can be applied to a great many children without heavy cost in time and manpower cost, and would generate valuable results from a public health perspective.


2018 ◽  
Vol 183 ◽  
pp. 02052 ◽  
Author(s):  
Sathiskumar A. Ponnusami ◽  
Hao Cui ◽  
Borja Erice ◽  
Mehtab V. Pathan ◽  
Nik Petrinic

A combined numerical-experimental methodology is presented to measure dynamic Mode-I fracture properties of fiber reinforced composites. A modified wedge-DCB test using a Split-Hopkinson Bar technique along with cohesive zone modelling is utilised for this purpose. Three different comparison metrics, namely, strain-displacement response, crack propagation history and crack opening history are employed in order to extract unique values for the cohesive fracture properties of the delaminating interface. More importantly, the complexity of dealing with the frictional effects between the wedge and the DCB specimen is effectively circumvented by utilising right acquisition techniques combined with an inverse numerical modelling procedure. The proposed methodology is applied to extract the high rate interlaminar fracture properties of carbon fiber reinforced epoxy composites and it is further shown that a high level of confidence in the calibrated data can be established by adopting the proposed methodology.


1983 ◽  
Vol 27 (7) ◽  
pp. 581-583
Author(s):  
Michael L. Frazier

To ensure that all major Air Force systems are subject to adequate human factors examination, the dependence on data-free critical analysis concerning system (and human) performance should be kept to a minimum during testing. Human factors test and evaluators (T&Eers) require the timely application of state-of-the-art (SOA) test and evaluation (T&E) techologies to keep pace with advanced system design. The Air Force needs to establish high-level policies directing human factors technology to ensure there are: 1) SOA T&E procedures, models and techniques; 2) appropriate human performance criteria; 3) current specifications, standards and handbooks; 4) qualified and trained T&Eers 5) SOA T&E instrumentation and equipment, and 6) SOA T&E software. A proposed model for transfer of human factors technologies for test and evaluation is presented.


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