Hodges' Model: Welcome to the QUAD: complications

Hodges' model is a conceptual framework to support reflection and critical thinking. Situated, the model can help integrate all disciplines (academic and professional). Amid news items, are posts that illustrate the scope and application of the model. A bibliography and A4 template are provided in the sidebar. Welcome to the QUAD ...

Showing posts with label complications. Show all posts
Showing posts with label complications. Show all posts

Monday, November 10, 2025

Modelling turbulence in flight: and other situations?

'Thomas Q. Carney, a retired professor of aviation technology at Purdue University in Indiana who has logged more than 11,000 flight hours as a pilot, said, "The better the model, the more it captures of the particular turbulent field, then the better the forecast, which is what the pilot is going to use."'
individual
|
INTERPERSONAL : SCIENCES
humanistic -------------------------------------------  mechanistic
SOCIOLOGY : POLITICAL
|
group-population
complexity
and
turbulence
here ...

Birnir, B., & Angheluta, L. (2025). Scaling of Lagrangian structure functions. Phys. Rev. Res., 7(2), 023225.  https://doi.org/10.1103/PhysRevResearch.7.023225


here

and here ...


'To try to make sense of chaos, Dr. Birnir worked with Luiza Angheluta-Bauer, a theoretical physicist at the University of Oslo, to devise a model that combines two different methods for observing turbulence: what are known as Lagrangian and Eulerian mechanics. Experts say that neither framework can fully explain how turbulence works. 

That's because these two frameworks look at fundamentally different aspects of a turbulent system. In Lagrangian mechanics. researchers observe a simple particle. while in the Eulerian framework they look at a single point in space. Put simply, Lagrangian mechanics is like watching a leaf flow downriver, subject to the whims of eddies in the water. On the other hand, Eulerian mechanics is like watching a rock that protrudes from the river's surface and studying how the turbulence of the water moves around that fixed point.

Lagrangian turbulence is trickier to model because it requires an understanding of how a lone particle will behave. That lone particle will "execute the most complicated motion that you could imagine," Dr. Birnir said.

Knowing how each type of turbulence fits into the bigger picture is akin to selecting the appropriate lens for a microscope, since both are highly dependent on perspective. "Same turbulence, different stories," said Tomek Jaroslawski a postdoctoral fellow at the Center of Turbulence Research at Stanford University.' Nazaryan, p.12.


Nazaryan, A. A new theory of in-flight turbulance lands, Science: The New York Times International Edition, October 15, 2025, p.12.

[Subscription: https://www.nytimes.com/2025/09/24/science/physics-airplanes-turbulence.html ].

See previously: 'care architecture' : 'Serres' : 'complexity' - and, if needed 'spiritual'

Wednesday, February 05, 2025

HC@AIxIA: AI&Health Seminar - FEBRUARY 13 3:30 CET ... the model of Bronchopulmonary Dysplasia and Post-prematurity Respiratory Disease

The context around artificial intelligence in medicine:
the model of Bronchopulmonary Dysplasia and Post-prematurity Respiratory Disease

Dear Madam/Sir,

This is to officially announce the SECOND seminar of the "AI & Health: Seminars 2025" series as hosted by HC@AIxIA, i.e., the "Artificial Intelligence for Healthcare" working group of the Italian Association for Artificial Intelligence.

  *** Save the date: 13 FEBRUARY 2025. 3:30 CET ***

We hope you will attend and participate in the discussion on the relevant topics that will be presented and by our speakers.
Feel free to share this with those potentially interested.

Link for participating: https://bit.ly/hc-2025-02 (PLEASE CHECK the site https://aixia.it/en/gruppi/hc/ for any changes or updates) - Please find some details below, and a poster attached (link). 

Anna Lavizzari, MD, MSc, Attending Physician - S.C. di Neonatologia e Terapia Intensiva Neonatale, Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, Milano, Italy

Title: The context around artificial intelligence in medicine: the model of Bronchopulmonary Dysplasia and Post-prematurity Respiratory Disease
Abstract: Preterm infant survival has dramatically increased in the last decades, including those infants born at very low gestational age/at the limit of viability. However, the rate of Bronchopulmonary dysplasia (BPD) has increased. BPD is one of the most worrisome complications of prematurity and the most common chronic respiratory disorder of early childhood. Infants with BPD present respiratory sequelae in early childhood, including wheezing, recurrent respiratory infections, re-hospitalization, need for home- oxygen and inhaled therapy. During adolescence, they still present with airway obstruction symptoms, exercise fatigue, and an early decline in lung function toward Chronic Obstructive Respiratory disease has been described in early adulthood. The BPD pathogenesis is complex and multifactorial. It includes 1) the premature arrest of lung development, 2) the antenatal exposure to infection/inflammation, growth restriction and smocking; 3) post-natal exposure to invasive/non-invasive respiratory support and supplemental oxygen, post-natal infections/inflammation and poor nutrition; 4) genetic predisposition. The formal diagnosis of BPD is assessed at 36 weeks post-menstrual age, and it is currently based on the degree of respiratory support required at that time point. However, the window for intervention (preventive strategies and pharmacological interventions) occurs in the first days of life. Diagnostic tools for early identification of infants at risk are currently lacking, due to both the vulnerability of this population and the lack of suitable lung function testing. Artificial intelligence has the potential for early identification and stratification of the population at risk, offering the opportunity for targeted therapy and more accurate prognostic prediction.

Short Bio: Anna Lavizzari is a consultant neonatologist at the Neonatal Intensive Care Unit of Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico – Milan, Italy. Her clinical research has focused on lung recruitment strategies at birth, neonatal non-invasive respiratory support, Forced Oscillation Technique for assessing respiratory mechanics, individualized surfactant therapy, respiratory support optimization and lung function follow-up of former preterm infants. She did a research fellowship at the Murdoch Children’s Research Institute, Melbourne (2013-2014) with Dr D Tingay and Dr P Dargaville. She has participated in experimental research on the long-term respiratory complications in former preterm lambs (Dr J Pillow, University of Western Australia, and Dr K Albertine, University of Utah). She served as secretary (2019-2021) and chair (2022-2024) of the Pediatric and Neonatal Intensive Care group of the European Respiratory Society. She is a member of the Pulmonology Board of the Italian Society of Neonatology (SIN) and a member of the Pulmonology section of the European Society for Paediatric Research (ESPR).

Flyer: https://drive.google.com/open?id=1-S7_FHkpFtm1mdBZK9fZpY9WBiFJ3htm&usp=drive_fs

Link to participate: https://bit.ly/hc-2025-02
(PLEASE CHECK the site https://aixia.it/en/gruppi/hc/ for any changes or updates)

====

== Are you interested in Joining the group? ==
Please head to https://aixia.it/en/gruppi/hc/ fo find out how. Do not hesitate to contact us at hc-aixia@googlegroups.com for any information or clarification.

Thank you for your interest in the AI & Health seminar series and the HC@AIxIA working group, and see you soon!

Sincerely,
Francesco Calimeri, Mauro Dragoni, Fabio Stella
(coordinators of the HC@AIxIA working group)