A Statistical Approach to The Life Cycle Analysis of Cumulus Clouds Selected in A Virtual Reality Environment

In this study, a new method is developed to investigate the entire life cycle of shallow cumuli in large eddy simulations. Although trained observers have no problem in distinguishing the different life stages of a cloud, this process proves difficult to automate, because cloud-splitting and cloud-merging events complicate the distinction between a single system divided in several cloudy parts and two independent systems that collided. Because the human perception is well equipped to capture and to make sense of these time-dependent three-dimensional features, a combination of automated constraints and human inspection in a three-dimensional virtual reality environment is used to select clouds that are exemplary in their behavior throughout their entire life span. Three specific cases (ARM, BOMEX, and BOMEX without large-scale forcings) are analyzed in this way, and the considerable number of selected clouds warrants reliable statistics of cloud properties conditioned on the phase in their life cycle. The most dominant feature in this statistical life cycle analysis is the pulsating growth that is present throughout the entire lifetime of the cloud, independent of the case and of the large-scale forcings. The pulses are a self-sustained phenomenon, driven by a balance between buoyancy and horizontal convergence of dry air. The convective inhibition just above the cloud base plays a crucial role as a barrier for the cloud to overcome in its infancy stage, and as a buffer region later on, ensuring a steady supply of buoyancy into the cloud

Synthesis of Oleoylethanolamide Using Lipase

An effective process for the enzymatic synthesis of oleoylethanolamide is described in this study. The process included purification of a commercial oleic acid product and then optimization of the reaction between the purified oleic acid and ethanolamine in the presence of hexane and a lipase. Under the optimal amidation reaction conditions identified, oleoylethanolamide was obtained with 96.6% purity. The synthesis was also conducted on a large scale (50 mmol of each of the reactants), and oleoylethanolamide purity and yield after crystallization purification were 96.1 and 73.5%, respectively. Compared to the previous studies, the current method of preparing high-purity oleoylethanolamide is more effective and economically feasible. The scalability and ease for such synthesis make it possible to study the biological and nutritional functions of the cannabinoid-like oleoylethanolamide in animal or human subjects

Asperger syndrome related suicidal behavior: two case studies

Jana Kocourkova, Iva Dudova, Jiri Koutek Department of Child Psychiatry, Charles University Second Faculty of Medicine, University Hospital Motol, Prague, Czech Republic Abstract: Asperger syndrome hinders adaptation to developmental challenges during childhood and adolescence, particularly with regard to interpersonal relationships. Individuals with Asperger syndrome display lack of empathy and limited ability to understand social and emotional exchanges with other people. Individuals with Asperger syndrome are significantly exposed to the risk of suicidal behavior, especially during adolescence. The authors describe cases of suicidal behavior in two adolescent boys with Asperger syndrome. Keywords: Asperger syndrome, suicidal behavior, adolescenc

Suicidal behavior and self-harm in girls with eating disorders

Jiri Koutek, Jana Kocourkova, Iva Dudova Department of Child Psychiatry, Charles University Second Faculty of Medicine, University Hospital Motol, Prague, Czech Republic Abstract: Comorbid psychopathology, including self-harm and suicidal behavior, is often found in patients with eating disorders. To better understand the reasons for high comorbid psychopathology among eating disorders, self-harm, and suicidal behavior, we examined this comorbidity in female patients hospitalized with eating disorders. In a sample of 47 girls admitted for anorexia nervosa, atypical anorexia nervosa, and bulimia nervosa, 72% had depressive symptoms, 11% had obsessive-compulsive symptoms, 9% had anxiety disorder, 23% had substance abuse, and 57% had disharmonious personality development. Suicidal behavior was present in 60% of patients and self-harm in 49%. Association was found between self-harm and suicidality. In all, 68% of girls with eating disorders had a positive score in the Children’s Depression Inventory questionnaire and 62% of them in the Child Adolescent Suicidal Potential Index questionnaire. Clinical examination of girls with eating disorders should focus on identifying the risk of suicidal behavior and self-harm. Keywords: eating disorders, child, adolescent, self-harm, suicidal behavio

Early-onset anorexia nervosa in girls with Asperger syndrome

Iva Dudova, Jana Kocourkova, Jiri Koutek Department of Child Psychiatry, Charles University Second Faculty of Medicine and University Hospital Motol, Prague, Czech Republic Abstract: Eating disorders frequently occur in conjunction with autism spectrum disorders, posing diagnostic and therapeutic difficulties. The comorbidity of anorexia nervosa and Asperger syndrome is a significant clinical complication and has been associated with a poorer prognosis. The authors are presenting the cases of an eleven-year-old girl and a five-and-a-half-year-old girl with comorbid eating disorders and Asperger syndrome. Keywords: eating disorders, early-onset anorexia nervosa, autism spectrum disorders, Asperger syndrome, diagnostics, therap

A Reprocessing Tool for Quantitative Data Analysis in a Virtual Environment ABSTRACT

This paper presents an approach to help speed up and unify the exploration and analysis of time-dependent, volumetric data sets by easily incorporating new qualitative and quantitative information into an exploratory virtual environment (VE). The new information is incorporated through one or more expedited offline “reprocessing ” steps, which compute properties of objects extracted from the data. These objects and their properties are displayed in the exploratory VE. A case study involving atmospheric data is presented to demonstrate the utility of the method

A Reprocessing Tool for Quantitative Data Analysis in a Virtual Environment

This paper presents an approach to help speed up and unify the exploration and analysis of time-dependent, volumetric data sets by easily incorporating new qualitative and quantitative information into an exploratory virtual environment (VE). The new information is incorporated through one or more expedited offline reprocessing steps, which compute properties of objects extracted from the data. These objects and their properties are displayed in the exploratory VE. A case study involving atmospheric data is presented to demonstrate the utility of the method. Copyright 2006 ACM

Feature Tracking in VR for Cumulus Cloud Life-Cycle Studies

Feature tracking in large data sets is traditionally an off-line, batch processing operation while virtual reality typically focuses on highly interactive tasks and applications. This paper presents an approach that uses a combination of off-line preprocessing and interactive visualization in VR to simplify and speed up the identification of interesting features for further study. We couch the discussion in terms of our collaborative research on using virtual reality for cumulus cloud life-cycle studies, where selecting suitable clouds for study is simple for the skilled observer but difficult to formalize. The preprocessing involves identifying individual clouds within the data set through a 4D connected components algorithm, and then saving isosurface, bounding box, and volume information. This information is then interactively visualized in our VR Cloud Explorer with various tools and information displays to identify the most interesting clouds. In a small pilot study, reasonable performance, both in the preprocessing phase and the visualization phase, has been measured. © The Eurographics Association 2005

Age at diagnosis of autism spectrum disorders: is there an association with socioeconomic status and family self-education about autism?

Michal Hrdlicka,1 Maria Vacova,1 Hana Oslejskova,2 Veronika Gondzova,2 Iveta Vadlejchova,3 Jana Kocourkova,1 Jiri Koutek,1 Iva Dudova1 1Department of Child Psychiatry, Charles University Second Faculty of Medicine and University Hospital Motol, Prague, 2Department of Child Neurology, Masaryk University Faculty of Medicine and University Hospital, Brno, 3Child Psychiatry Clinic, Chomutov, Czech Republic Background: The marked increase in autism spectrum disorders (ASD) prevalence has stimulated worldwide interest in exploring broader circumstances of care of autistic children, including the role of socioeconomic status (SES) and family information on autism.Methods: Our sample comprised of 160 children who participated in a diagnostic examination focused on autism, and their parents who completed a simple descriptive questionnaire focusing on the family situation as well as family self-education about autism. The diagnosis of ASD was confirmed in 120 children (75% of the sample; 94 boys, 26 girls) with mean age 6.2±2.7 years (median 5.3, range 2.2–17.2 years). In 71 autistic patients (59.2%), a diagnosis of mental retardation was also established.Results: The age at diagnosis of ASD correlated negatively with maternal (P=0.014) and paternal (P=0.002) ages at the time of birth of the ASD child as well as with paternal (P=0.002) and maternal (P=0.050) education. The age at diagnosis of ASD did not correlate with family SES. Mothers were significantly more active in seeking information on autism than fathers or both parents equally (80 vs 9 vs 28 cases, respectively; P<0.001). The mean number of information sources on autism was 3.5±1.8 with a range 0–9. The mean number of resources did not differ among the three SES groups (3.50 vs 3.49 vs 4.25, respectively; P=0.704). The mean number of sources did not correlate with the age at diagnosis of ASD. The most often used sources were the Internet (81.7%), followed by psychologists (48.3%), books (46.7%), and child and adolescent psychiatrists (43.3%).Conclusion: An earlier diagnosis of ASD is associated with higher parental age at birth and higher parental education but not with family SES or number of family information sources. Keywords: autism spectrum disorders, early diagnosis, socioeconomic status, parental education, parental informatio