A stark, candid new series by Mark Abegg captures Ukrainian models in a sensitive charity initiative to support women and children affected by war
reat fashion photography is global and collaborative, bringing together a unique cast of talent and reflecting a rich and beautiful tapestry of culture.is one such photographer, who met Ukranian model Pasha Harulia while shooting his first editorial, before developing a friendship with her and her husband Dima Novichenko. Since Russia invaded Ukraine in 2022Models for Ukraine by Mark Abegg
Harulia features in Abegg’s new series among 30 other Ukrainian models, now on display at Oddityparis, with all proceeds from the sale of prints benefitting Марш Жінок – a Ukrainian non-profit benefiting women and children affected by the war. The stark, black-and-white imagery – with casting by Maxime Valentini – is pared back in comparison to Abegg’s usual cinematic, stylised work.
Through speaking with each model about the displacement caused by the war, Abegg unravels a vulnerable story, one of worry and hope, behind the eyes of each of his subjects. “These models, living through such a life-altering event, told us how uncertainty and fear takes a toll on them – how their life has been divided into ‘before’ and ‘after’,” says Abegg of the project.
Australia Latest News, Australia Headlines
Similar News:You can also read news stories similar to this one that we have collected from other news sources.
Variability Among Breast Cancer Risk Classification Models When Applied at the Level of the Individual Woman - Journal of General Internal MedicineBackground Breast cancer risk models guide screening and chemoprevention decisions, but the extent and effect of variability among models, particularly at the individual level, is uncertain. Objective To quantify the accuracy and disagreement between commonly used risk models in categorizing individual women as average vs. high risk for developing invasive breast cancer. Design Comparison of three risk prediction models: Breast Cancer Risk Assessment Tool (BCRAT), Breast Cancer Surveillance Consortium (BCSC) model, and International Breast Intervention Study (IBIS) model. Subjects Women 40 to 74 years of age presenting for screening mammography at a multisite health system between 2011 and 2015, with 5-year follow-up for cancer outcome. Main Measures Comparison of model discrimination and calibration at the population level and inter-model agreement for 5-year breast cancer risk at the individual level using two cutoffs (≥ 1.67% and ≥ 3.0%). Key Results A total of 31,115 women were included. When using the ≥ 1.67% threshold, more than 21% of women were classified as high risk for developing breast cancer in the next 5 years by one model, but average risk by another model. When using the ≥ 3.0% threshold, more than 5% of women had disagreements in risk severity between models. Almost half of the women (46.6%) were classified as high risk by at least one of the three models (e.g., if all three models were applied) for the threshold of ≥ 1.67%, and 11.1% were classified as high risk for ≥ 3.0%. All three models had similar accuracy at the population level. Conclusions Breast cancer risk estimates for individual women vary substantially, depending on which risk assessment model is used. The choice of cutoff used to define high risk can lead to adverse effects for screening, preventive care, and quality of life for misidentified individuals. Clinicians need to be aware of the high false-positive and false-negative rates and variation between models when talking with pati
Read more »
Putin’s troops ordered to advance in ‘most sectors’ on Ukrainian front – MoDVladimir Putin’s troops have been commanded to advance in “most sectors” but are struggling to achieve a major breakthrough on the Ukrainian front line, British military chiefs have said.
Read more »
The Shropshire foundry making pans and forging bonds with Ukrainian metalworkersOwner Neil Currie was inspired to help out when the brother of one of his friends was enlisted to fight against the Russian invasion.
Read more »
Inside the Basement Where a Ukrainian Village Spent a Month in CaptivityIn this place where Russian troops held everyone in Yahidne—more than 350 people—captive, a list of the dead still remains etched on a wall
Read more »
Mapping of morpho-electric features to molecular identity of cortical inhibitory neuronsAuthor summary The computational abilities of the brain arise from its organization principles at the cellular level. One of these principles is the neuronal type composition over different regions. Since computational functions of neurons are best described by their morphological and electrophysiological properties, it is logical to use morpho-electrically defined cell types to describe brain composition. However, characterizing morpho-electrical properties of cells involve low-throughput techniques not very well suited to scan the whole brain. Thanks to recent progress on transcriptomic and immuno-staining techniques we are now able to get a more accurate snapshot of the mouse brain composition for molecularly defined cell types. How to link molecularly defined cell types with morpho-electrical cell types remains an open question. Several studies have explored this problem providing valuable three-modal datasets combining electrical, morphological and molecular properties of cortical neurons. The long-term goal of the Blue Brain Project (BBP) is to accurately model the mouse’s whole brain, which requires detailed biophysical models of neurons. Instead of going through the time-consuming process of producing detailed models from the three-modal datasets, we explored a time-saving method. We mapped the already available detailed morpho-electrical models from the BBP rat dataset to cells from a three-modal mouse dataset. We thus assigned a molecular identity to the neuron models allowing us to populate the whole mouse cortex with detailed neuron models.
Read more »