The complete list may be seen in Table 8. Here are a few general notes about these strings: 1. Based on their recommendations, we did the following: 1. zh, zh_Latn: This resulted in the special filters described below. URLs) the corpora were in languages different from the LangID predictions. This is mainly mis-rendered PDFs and may have practical applications for denoising, or for decoding such garbled PDFs.

Such asymmetry presents two issues.

Studying the behavior of non-human primates is essential for gaining evolutionary insights (Langer-graber et al., 2012), conducting biomedical research (Schapiro et al., 2005), and improving animal

During Sudan's civil war, which erupted in April 2023, both sides have increasingly relied on drones, and civilians have borne the brunt of the carnage. The conflict between the Sudanese armed forces (SAF) and the Rapid Support Forces (RSF) paramilitary group is an example of war transformed by commercially available, easily concealable unmanned aerial vehicles (UAVs), or drones. Modular, well-adapted to sanctions evasions and devastatingly effective, drones have killed scores of civilians, crippled infrastructure and plunged Sudanese cities into darkness. In this visual investigation, Al Jazeera examines the history of drone warfare in Sudan, the types of drones used by the warring sides, how they are sourced, where the attacks have occurred and the human toll. The RSF traces its origins to what at the time was a government-linked militia known as the Janjaweed.

'Super' virus spreading uncontrollably... as New York sees most flu cases ever and experts warn'we don't know when it will stop' Behind-the-scenes snaps from Kimberly Guilfoyle's magazine shoot look VERY different than the published photos Trump's HHS halts child care funding to ALL states after viral video sparks Somali daycare scandal in Minnesota She wore the ultimate revenge dress after their brutal break up. But Nashville's hottest couple is'trying again'... and her friends are terrified MARK HALPERIN blows apart the Minnesota scandal... and reveals who will pay the ultimate price Marla Maples' chilling Epstein warning as she feared his growing sway over Trump Megyn Kelly names'meanest' celebrities... and hints NBC's twinkly-eyed TV grandpa is not as nice as he seems Democrat mayor blasted for sneaking through reparations plan'in dark of night' that could see city's black residents handed $5m each Leonardo DiCaprio flaunts weight loss for much-younger girlfriend... but chooses very middle-aged accessory I tried the $12 'miracle' hangover cure... but I made a critical mistake that left me full of regret Snitch reveals all the gossip from inside the New England Patriots after Stefon Diggs allegedly'strangled' his female chef St Barts regulars complain paradise island is'tacky' and overrun with vulgar yachts blocking ocean views as A-Listers and billionaires flock there for annual New Year's Eve celebrations My husband set me a kinky New Year's resolution... DEAR JANE, I'm disgusted. But I'm afraid I can't say no'Work maintained my sense of self': How one woman's cancer journey inspired her company to give back New York City mayor-elect Zohran Mamdani is set to ring in his inauguration with a public block party open to residents on January 1. But alongside the celebration, the Democratic socialist has also released a lengthy list of items barred from the event, some expected, others raising eyebrows. While weapons, explosives, and illegal substances are banned, the list also prohibits strollers, Flipper Zero devices and Raspberry Pis, two pieces of consumer technology that are legal and widely used.

Covariate adjustment is an approach to improve the precision of trial analyses by adjusting for baseline variables that are prognostic of the primary endpoint. Motivated by the SEARCH Universal HIV Test-and-Treat Trial (2013-2017), we tell our story of developing, evaluating, and implementing a machine learning-based approach for covariate adjustment. We provide the rationale for as well as the practical concerns with such an approach for estimating marginal effects. Using schematics, we illustrate our procedure: targeted machine learning estimation (TMLE) with Adaptive Pre-specification. Briefly, sample-splitting is used to data-adaptively select the combination of estimators of the outcome regression (i.e., the conditional expectation of the outcome given the trial arm and covariates) and known propensity score (i.e., the conditional probability of being randomized to the intervention given the covariates) that minimizes the cross-validated variance estimate and, thereby, maximizes empirical efficiency. We discuss our approach for evaluating finite sample performance with parametric and plasmode simulations, pre-specifying the Statistical Analysis Plan, and unblinding in real-time on video conference with our colleagues from around the world. We present the results from applying our approach in the primary, pre-specified analysis of 8 recently published trials (2022-2024). We conclude with practical recommendations and an invitation to implement our approach in the primary analysis of your next trial.

As Large Language Models (LLMs) become increasingly integrated into everyday life and information ecosystems, concerns about their implicit biases continue to persist. While prior work has primarily examined socio-demographic and left--right political dimensions, little attention has been paid to how LLMs align with broader geopolitical value systems, particularly the democracy--authoritarianism spectrum. In this paper, we propose a novel methodology to assess such alignment, combining (1) the F-scale, a psychometric tool for measuring authoritarian tendencies, (2) FavScore, a newly introduced metric for evaluating model favorability toward world leaders, and (3) role-model probing to assess which figures are cited as general role-models by LLMs. We find that LLMs generally favor democratic values and leaders, but exhibit increased favorability toward authoritarian figures when prompted in Mandarin. Further, models are found to often cite authoritarian figures as role models, even outside explicit political contexts. These results shed light on ways LLMs may reflect and potentially reinforce global political ideologies, highlighting the importance of evaluating bias beyond conventional socio-political axes. Our code is available at: https://github.com/irenestrauss/Democratic-Authoritarian-Bias-LLMs.