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Новости за 08.08.2024

«Just Jared» 

Outlander's 7 Seasons, Ranked From Worst to Best

One of Starz’s biggest hit shows, Outlander, is widely regarded as one of the best on the air and now, we’re ranking the seasons! We’re breaking down each season of the hit TV series and seeing just how they rank against each other, according to the Rotten Tomatoes’ Audience scores. Based on Diana Gabaldon‘s best-selling [...]

«SFGate» (sfgate.com) 

Homeowners race to refinance as mortgage rates retreat from 23-year highs

A recent pullback in mortgage rates is spurring more homeowners to refinance their home loan and lower their monthly payments. The Mortgage Bankers Association’s refinance index, which tracks home loan application volume, surged 16% last week from the previous week to its highest level in two years, the association said Wednesday. Refinance applications were up nearly 60% versus the same week last year. Despite the lower borrowing costs, applications for loans to buy a home rose only 0.8% from the... Читать дальше...

Economictimes.indiatimes.com 

Old is new at IIT-B: IIT Bombay students engineer a return to core career paths

A survey at IIT Bombay highlighted a renewed interest in core engineering roles among students, balanced with opportunities in tech. Many graduates planned to pursue advanced degrees, while only a few were interested in entrepreneurship. Placements were stressful with job interest and work-life balance being key factors. Preferred job locations were Mumbai and Bengaluru.

Malawi Voice.com 

MRA beats July 2024 target by K15 billion

By Tikondane Vega Lilongwe, August 8, Mana: Malawi Revenue Authority (MRA) says it has managed to collect K329 billion beating a target of K314 billion that was planned to be collected for the month of July, 2024. MRA Head of Corporate Affairs, Steven Kapoloma, attributed the success to the support taxpayers are rendering to the […]

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Sciencemag.org 

Design studies for clinical prediction | Science

In their Research Article “Illusory generalizability of clinical prediction models” (12 January, p. 164), A. M. Chekroud et al. demonstrate that making robust and generalizable predictions in clinical contexts is difficult. Their results reveal flaws in the current strategy of applying artificial intelligence to prediction tasks. The reuse of existing data from randomized controlled trials and the lack of iterative model development hinder the ability of machine learning models to contribute in clinical settings.