Earth's gravity has fundamentally shaped human development by guiding the brain's integration of vestibular, visual, and proprioceptive inputs into an internal model of gravity: a dynamic neural representation enabling prediction and interpretation of gravitational forces. This work presents a dual computational framework to quantitatively model these adaptations. The first component is a lightweight Multi-Layer Perceptron (MLP) that predicts g-load-dependent changes in key electroencephalographic (EEG) frequency bands, representing the brain's cortical state. The second component utilizes a suite of independent Gaussian Processes (GPs) to model the body's broader physiological state, including Heart Rate Variability (HRV), Electrodermal Activity (EDA), and motor behavior. Both models were trained on data derived from a comprehensive review of parabolic flight literature, using published findings as anchor points to construct robust, continuous functions. To complement this quantitative analysis, we simulated subjective human experience under different gravitational loads, ranging from microgravity (0g) and partial gravity (Moon 0.17g, Mars 0.38g) to hypergravity associated with spacecraft launch and re-entry (1.8g), using a large language model (Claude 3.5 Sonnet). The model was prompted with physiological parameters to generate introspective narratives of alertness and self-awareness, which closely aligned with the quantitative findings from both the EEG and physiological models. This combined framework integrates quantitative physiological modeling with generative cognitive simulation, offering a novel approach to understanding and predicting human performance in altered gravity

Things to Do in L.A. Tap to enable a layout that focuses on the article. The first woman to pilot a SpaceX Dragon spacecraft and the last to "touch" the Hubble space telescope retired after more than two decades with NASA Some explorers have focused on alpine heights. Megan McArthur is one of the elite few who can say she's piloted both submarines and spacecraft, exploring expanses from the ocean floor to low Earth orbit, looking down on the planet from 250 miles above. Now McArthur, 54, is retiring from NASA, where she has served for more than two decades as an astronaut and senior leader at the agency's Jet Propulsion Laboratory in Houston. Emily Carney, a space historian, described McArthur as a pioneer, one of the first 100 women to fly in space, and someone with a "magnificent career."

Large Language Models still struggle in challenging scenarios that leverage structured data, complex reasoning, or tool usage. In this paper, we propose Source2Synth: a new method that can be used for teaching LLMs new skills without relying on costly human annotations. Source2Synth takes as input a custom data source and produces synthetic data points with intermediate reasoning steps grounded in real-world sources. Source2Synth improves the dataset quality by discarding low-quality generations based on their answerability. We demonstrate the generality of this approach by applying it to two challenging domains: we test reasoning abilities in multi-hop question answering (MHQA), and tool usage in tabular question answering (TQA). Our method improves performance by 25.51% for TQA on WikiSQL and 22.57% for MHQA on HotPotQA compared to the fine-tuned baselines.

A revolution in satellite technology has produced spacecraft that are smaller and more capable, capsules that fly themselves and autonomous rockets that reach space, make a U-turn and execute pinpoint landings so they can fly again. While ground engineers and computer experts have always played an important role in spaceflight, today their role is even more pronounced as software changes are beamed to spacecraft as routinely as iPhone updates.

Space poses significant challenges for human physiology, leading to physiological adaptations in response to an environment vastly different from Earth. While these adaptations can be beneficial, they may not fully counteract the adverse impact of space-related stressors. A comprehensive understanding of these physiological adaptations is needed to devise effective countermeasures to support human life in space. This review focuses on the impact of the environment in space on the musculoskeletal system. It highlights the complex interplay between bone and muscle adaptation, the underlying physiological mechanisms, and their implications on astronaut health. Furthermore, the review delves into the deployed and current advances in countermeasures and proposes, as a perspective for future developments, wearable sensing and robotic technologies, such as exoskeletons, as a fitting alternative.

The applications of large language models (LLMs) have expanded well beyond the confines of text processing, signaling a new era where LLMs are envisioned as generalist language agents capable of operating within complex real-world environments. These environments are often highly expansive, making it impossible for the LLM to process them within its short-term memory. Motivated by recent research on extending the capabilities of LLMs with tools, this paper investigates the intriguing potential of tools to augment LLMs in handling such complexity. To this end, we design customized tools to aid in the proactive exploration within these massive environments. Such tools can serve as a middleware layer shielding the LLM from environmental complexity. In two representative complex environments -- knowledge bases (KBs) and databases -- we demonstrate the significant potential of augmenting language agents with tools in complex environments. Notably, equipped with these tools, GPT-4 achieves 2.8X the performance of the best baseline in tasks requiring access to database content and 2.2X in KB tasks. Our findings illuminate the path for advancing language agents in complex real-world applications.

The Apollo 11 moon landing was a seminal event in American history, one etched deeply into our nation's collective psyche. The event ushered in an era of unbridled possibilities -- the stars were finally coming into reach -- and its effects were felt across the culture, from art and fashion to politics and culture. In After Apollo: Cultural Legacies of the Race to the Moon, a multidisciplinary collection of historians, researchers and academics explore the myriad ways that putting a man on the moon impacted the American Experience. Reprinted with permission of the University of Florida Press. From NASA's very beginnings, immigrant engineers, scientists, and technicians lent their talent, labor, and technical skills to the space program.

Astronaut Sally Ride became the first American woman in space on this day in history, June 18, 1983. Born on May 26, 1951, in Los Angeles, Ride earned bachelor's degrees in English and physics from Stanford University in California before staying at Stanford and earning a PhD in physics in 1978. Shortly before earning her doctorate, Ride saw an ad for a newspaper that piqued her interest. NASA was recruiting for astronauts -- and, for the first time, the agency would include women in its astronaut class. "Over 8,000 men and women applied to the space program that year. Of the 35 individuals accepted, six were women, and I was one of them. This was in January 1978," said Ride in quotes listed on a tribute page on NASA's website.

When Dr Uri Shumlack was contacted by a video game developer who wanted to discuss his work on interstellar propulsion, for a game about spaceflight, he was wary. A professor of aeronautics and astronautics at the University of Washington, he was a busy individual, and not exactly an avid gamer. He asked some of his engineering undergraduates whether they had heard of a game called Kerbal Space Program, only to discover that half the class were there because of the game. First playable in 2011, Kerbal Space Program is an idiosyncratic and extremely difficult video game that involves getting little green aliens off the surface of their planet using rockets that you must cobble together from a library of parts. To do this, though – and leave the launchpad without exploding – you have to develop a pretty good understanding of the physics of space travel, calculating orbit trajectories and figuring out how much fuel you need, and whether you can carry it without messing up your thrust-to-weight ratio.

The crew of SpaceX's Inspiration4, the first all-civilian spaceflight to orbit, will be used to collect a huge amount of health data that will be used to help future humans travel off-planet. The four humans riding the Dragon capsule are US billionaire Jared Isaacman, who commissioned the flight, St. Jude physician's assistant Hayley Arcenaux, data engineer Chris Sembroski and geoscientist and artist Sian Proctor. The mission, scheduled for 15 September, will orbit the planet at 575 kilometres for three days before returning to Earth, descending into the Atlantic Ocean. This is the furthest distance from Earth for any human spaceflight since the Hubble Space Telescope repair missions, SpaceX says. The crew will collect a range of medical data including ECG (electrocardiograph) activity, movement, sleep, heart rate and rhythm, blood oxygen saturation, cabin noise and light intensity – which will be used to help assess changes in behavioural and cognitive performance over time.