Tesla has sold out all of its Model Y vehicles for the US, with no new production builds until April, due to the 'unprecedented demand' triggered by recent 20% price cuts.
Civilian Casualties Mount As Russia Launches New Wave Of Attacks In UkraineHigher Gasoline Prices Drive U.S. Producer Price Index HigherShell: European Demand Is Set To Dominate LNG Trade In The Long TermCourt Seizes Malaysia Oil Firm Assets Amid $15 Billion DisputeChevron’s Negative Returns Drag Dow DownGlencore To Pay Out $7 Billion In Dividends And BuybacksU.S.
Weighs 200% Tariff On Russian AluminumOne Of The World’s Hottest Oil Plays Prepares For New AuctionNatural Gas Futures Contracts Suggest Europe’s Energy Crisis Isn’t OverChinese Refining Giants Resume Purchases Of Russia’s Flagship CrudeFord Inks Controversial Battery Deal With Chinese CompanyOPEC Raises World Oil Demand Forecast For 2023U.S.
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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
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Renault chief warns Tesla price cuts damage confidence in electric cars\n\t\t\tKeep abreast of significant corporate, financial and political developments around the world.\n\t\t\tStay informed and spot emerging risks and opportunities with independent global reporting, expert\n\t\t\tcommentary and analysis you can trust.\n\t\t
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Knockderry Castle sold for £1.25m after 22-year legal battleKnockderry Castle was the main asset in a sequestration case that started over a disputed £230 bill.
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Gut microbiota-derived ursodeoxycholic acid alleviates low birth weight-induced colonic inflammation by enhancing M2 macrophage polarization - MicrobiomeBackground Low birth weight (LBW) is associated with intestinal inflammation and dysbiosis after birth. However, the underlying mechanism remains largely unknown. Objective In the present study, we aimed to investigate the metabolism, therapeutic potential, and mechanisms of action of bile acids (BAs) in LBW-induced intestinal inflammation in a piglet model. Methods The fecal microbiome and BA profile between LBW and normal birth weight (NBW) neonatal piglets were compared. Fecal microbiota transplantation (FMT) was employed to further confirm the linkage between microbial BA metabolism and intestinal inflammation. The therapeutic potential of ursodeoxycholic acid (UDCA), a highly differentially abundant BA between LBW and NBW piglets, in alleviating colonic inflammation was evaluated in both LBW piglets, an LBW-FMT mice model, and a DSS-induced colitis mouse model. The underlying cellular and molecular mechanisms by which UDCA suppresses intestinal inflammation were also investigated in both DSS-treated mice and a macrophage cell line. Microbiomes were analyzed by using 16S ribosomal RNA sequencing. Fecal and intestinal BA profiles were measured by using targeted BA metabolomics. Levels of farnesoid X receptor (FXR) were knocked down in J774A.1 cells with small interfering RNAs. Results We show a significant difference in both the fecal microbiome and BA profiles between LBW and normal birth weight animals in a piglet model. Transplantation of the microbiota of LBW piglets to antibiotic-treated mice leads to intestinal inflammation. Importantly, oral administration of UDCA, a major BA diminished in the intestinal tract of LBW piglets, markedly alleviates intestinal inflammation in LBW piglets, an LBW-FMT mice model, and a mouse model of colitis by inducing M2 macrophage polarization. Mechanistically, UDCA reduces inflammatory cytokine production by engaging BA receptor FXR while suppressing NF-κB activation in macrophages. Conclusions These findings establish a cau
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British embassy spy 'sold secrets to Russia' to give employer 'a bit of a slap'A British Embassy spy has apologised for selling state secrets to the Russia, and said he only wanted to give his employer ‘a bit of a slap’.
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Elon Musk donated £1.6bn in Tesla stock to charity last yearThe tech tycoon is a signatory to the Giving Pledge, a commitment made by some billionaires to give away at least half of their wealth.
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