Black people in Ukraine: A content analysis of TikTok videos documenting discrimination against Black people attempting to flee at the onset of the 2022 Russo-Ukrainian war.

This cross-sectional, descriptive study conducted on in June 2022 reviewed 100 TikTok videos using the hashtag #africansinukriane that depicted discrimination against Black people attempting to flee Ukraine at the onset of the war in February 2022. Two of the 16 themes were significant and present in over 50% of videos: raising awareness (67%) and racial discrimination (64%). Videos with elements of physical contact (N = 16, 76.2%), violence (N = 12, 75%), and dehumanization (N = 11, 68.8%) had higher shares than overall media shares. Less than 10% of the videos included dark humor (8%), sharing helpful resources (7%), and appreciation of countries that offered support (5%). Results indicate that videos that include raising awareness (p = .02), racial discrimination (p = .001), on-scene clips or war scenes (p = .007), physical contact (p = .006), and denied entry (p = .022). Their estimated differences in locations indicate that all of these themes were related to higher median shares of the videos. This study supports that TikTok is a place where marginalized groups can raise awareness about injustice and create counternarratives. This study exemplifies international anti-blackness with implications for health marketing and communication, human rights efforts, refugee health, and targeted mental health and policy support for those displaced by war.

UAV path planning based on third-party risk modeling.

Drones play an important role in modern cities, they bring convenience but also bring corresponding risks. Falling drones can cause casualties or damage to urban facilities and serious property damage, which increases the third-party risk problem. An effective way to reduce these third-party risks is to avoid high-risk areas in path planning, but most current path planning methods are optimized to minimize flight distance, and third-party risk costs are rarely considered. In this paper, a comprehensive risk-cost UAV path planning method is proposed, which evaluates urban risk by establishing a third-party risk model that incorporates obstacle risk, death risk, and property loss risk. This paper proposes a Min-cost A* algorithm based on city risk assessment, and smooths the generated low-risk path through the improved Floyd algorithm. The results show that the path planning method can effectively reduce the risk in the flight path, improve the reliability of the UAV flight path in the urban environment, and solve the problem of planning the third-party risk path of the UAV.

Assessment of the Purity of IMM-H014 and Its Related Substances for the Treatment of Metabolic-Associated Fatty Liver Disease Using Quantitative Nuclear Magnetic Resonance Spectroscopy.

An accurate, rapid, and selective quantitative nuclear magnetic resonance method was developed and validated to assess the purity of IMM-H014, a novel drug for the treatment of metabolic-associated fatty liver disease (MAFLD), and four related substances (impurities I, II, III, and IV). In this study, we obtained spectra of IMM--H014 and related substances in deuterated chloroform using dimethyl terephthalate (DMT) as the internal standard reference. Quantification was performed using the 1H resonance signals at δ 8.13 ppm for DMT and δ 6.5-7.5 ppm for IMM-H014 and its related substances. Several key experimental parameters were investigated and optimized, such as pulse angle and relaxation delay. Methodology validation was conducted based on the International Council for Harmonization guidelines and verified with satisfactory specificity, precision, linearity, accuracy, robustness, and stability. In addition, the calibration results of the samples were consistent with those obtained from the mass balance method. Thus, this research provides a reliable and practical protocol for purity analysis of IMM-H014 and its critical impurities and contributes to subsequent clinical quality control research.

Gaussian Boson Sampling with Pseudo-Photon-Number-Resolving Detectors and Quantum Computational Advantage.

We report new Gaussian boson sampling experiments with pseudo-photon-number-resolving detection, which register up to 255 photon-click events. We consider partial photon distinguishability and develop a more complete model for the characterization of the noisy Gaussian boson sampling. In the quantum computational advantage regime, we use Bayesian tests and correlation function analysis to validate the samples against all current classical spoofing mockups. Estimating with the best classical algorithms to date, generating a single ideal sample from the same distribution on the supercomputer Frontier would take ∼600 yr using exact methods, whereas our quantum computer, Jiǔzhang 3.0, takes only 1.27 µs to produce a sample. Generating the hardest sample from the experiment using an exact algorithm would take Frontier∼3.1×10^{10} yr.

Solving Graph Problems Using Gaussian Boson Sampling.

Gaussian boson sampling (GBS) is not only a feasible protocol for demonstrating quantum computational advantage, but also mathematically associated with certain graph-related and quantum chemistry problems. In particular, it is proposed that the generated samples from the GBS could be harnessed to enhance the classical stochastic algorithms in searching some graph features. Here, we use Jiǔzhang, a noisy intermediate-scale quantum computer, to solve graph problems. The samples are generated from a 144-mode fully connected photonic processor, with photon click up to 80 in the quantum computational advantage regime. We investigate the open question of whether the GBS enhancement over the classical stochastic algorithms persists-and how it scales-with an increasing system size on noisy quantum devices in the computationally interesting regime. We experimentally observe the presence of GBS enhancement with a large photon-click number and a robustness of the enhancement under certain noise. Our work is a step toward testing real-world problems using the existing noisy intermediate-scale quantum computers and hopes to stimulate the development of more efficient classical and quantum-inspired algorithms.

A Rhodol-based Fluorescent Probe with a Pair of Hydrophilic and Rotatable Wings for Sensitively Monitoring Intracellular Polarity.

Cell polarity, as a vital intracellular microenvironment characteristic, has immense effects on numerous pathological and biological processes. Therefore, the tracking of polarity variations is highly essential to explore the role and mechanism of the polarity in pathophysiological processes. Herein, we designed and synthesized a novel rhodol-based fluorescent probe (RDS) sensitive to polarity by introducing a bis(2-hydroxyethylthio)methyl group, like a pair of hydrophilic and rotatable wings, into the rhodol skeleton. This unique design makes RDS adopt the colorless and non-fluorescent spirocyclic form in a low-polarity medium while the colored and fluorescent ring-open form is present in a high-polarity system, resulting in a positive-correlation response of fluorescence intension to polarity. Importantly, RDS was successfully applied to monitor the polarity changes in living cells including cancer cells, healthy cells and senescent healthy cells, visualizing that the polarity of cancer cells is lower than that of healthy cells in which the more senescent ones have higher polarity.

Quantum teleportation of physical qubits into logical code spaces.

Quantum error correction is an essential tool for reliably performing tasks for processing quantum information on a large scale. However, integration into quantum circuits to achieve these tasks is problematic when one realizes that nontransverse operations, which are essential for universal quantum computation, lead to the spread of errors. Quantum gate teleportation has been proposed as an elegant solution for this. Here, one replaces these fragile, nontransverse inline gates with the generation of specific, highly entangled offline resource states that can be teleported into the circuit to implement the nontransverse gate. As the first important step, we create a maximally entangled state between a physical and an error-correctable logical qubit and use it as a teleportation resource. We then demonstrate the teleportation of quantum information encoded on the physical qubit into the error-corrected logical qubit with fidelities up to 0.786. Our scheme can be designed to be fully fault tolerant so that it can be used in future large-scale quantum technologies.