ToMChallenges: A Principle-Guided Dataset and Diverse Evaluation Tasks for Exploring Theory of Mind

Theory of Mind (ToM), the capacity to comprehend the mental states of distinct individuals, is essential for numerous practical applications. With the development of large language models, there is a heated debate about whether they are able to perform ToM tasks. Previous studies have used different tasks and prompts to test the ToM on large language models and the results are inconsistent: some studies asserted these models are capable of exhibiting ToM, while others suggest the opposite. In this study, We present ToMChallenges, a dataset for comprehensively evaluating Theory of Mind based on Sally-Anne and Smarties tests. We created 30 variations of each test (e.g., changing the person's name, location, and items). For each variation, we test the model's understanding of different aspects: reality, belief, 1st order belief, and 2nd order belief. We adapt our data for various tasks by creating unique prompts tailored for each task category: Fill-in-the-Blank, Multiple Choice, True/False, Chain-of-Thought True/False, Question Answering, and Text Completion. If the model has a robust ToM, it should be able to achieve good performance for different prompts across different tests. We evaluated two GPT-3.5 models, text-davinci-003 and gpt-3.5-turbo-0301, with our datasets. Our results indicate that consistent performance in ToM tasks remains a challenge.Comment: work in progres

Neuronally released vasoactive intestinal polypeptide alters atrial electrophysiological properties and may promote atrial fibrillation

BACKGROUND: Vagal hyperactivity promotes atrial fibrillation (AF), which has been almost exclusively attributed to acetylcholine. Vasoactive intestinal polypeptide (VIP) and acetylcholine are neurotransmitters co-released during vagal stimulation. Exogenous VIP has been shown to promote AF by shortening action potential duration (APD), increasing APD spatial heterogeneity, and causing intra-atrial conduction block. OBJECTIVE: The purpose of this study was to investigate the effects of neuronally released VIP on atrial electrophysiologic properties during vagal stimulation. METHODS: We used a specific VIP antagonist (H9935) to uncover the effects of endogenous VIP released during vagal stimulation in canine hearts. RESULTS: H9935 significantly attenuated (1) the vagally induced shortening of atrial effective refractory period and widening of atrial vulnerability window during stimulation of cervical vagosympathetic trunks (VCNS) and (2) vagal effects on APD during stimulation through fat-pad ganglion plexus (VGPS). Atropine completely abolished these vagal effects during VCNS and VGPS. In contrast, VGPS-induced slowing of local conduction velocity was completely abolished by either VIP antagonist or atropine. In pacing-induced AF during VGPS, maximal dominant frequencies and their spatial gradients were reduced significantly by H9935 and, more pronouncedly, by atropine. Furthermore, VIP release in the atria during vagal stimulation was inhibited by atropine, which may account for the concealment of VIP effects with muscarinic blockade. CONCLUSION: Neuronally released VIP contributes to vagal effects on atrial electrophysiologic properties and affects the pathophysiology of vagally induced AF. Neuronal release of VIP in the atria is inhibited by muscarinic blockade, a novel mechanism by which VIP effects are concealed by atropine during vagal stimulation

Bioinspired and bristled microparticles for ultrasensitive pressure and strain sensors

Biological sensory organelles are often structurally optimized for high sensitivity. Tactile hairs or bristles are ubiquitous mechanosensory organelles in insects. The bristle features a tapering spine that not only serves as a lever arm to promote signal transduction, but also a clever design to protect it from mechanical breaking. A hierarchical distribution over the body further improves the signal detection from all directions. We mimic these features by using synthetic zinc oxide microparticles, each having spherically-distributed, high-aspect-ratio, and high-density nanostructured spines resembling biological bristles. Sensors based on thin films assembled from these microparticles achieve static-pressure detection down to 0.015 Pa, sensitivity up to 121 kPa−1, and a strain gauge factor \u3e104, showing supreme overall performance. Other properties including a robust cyclability \u3e2000, fast response time ~7 ms, and low-temperature synthesis compatible to various integrations further indicate the potential of this sensor technology in applying to wearable technologies and human interfaces

Hand Gesture Recognition Using a Radar Echo I–Q Plot and a Convolutional Neural Network

We propose a hand gesture recognition technique using a convolutional neural network applied to radar echo inphase/quadrature (I/Q) plot trajectories. The proposed technique is demonstrated to accurately recognize six types of hand gestures for ten participants. The system consists of a low-cost 2.4-GHz continuous-wave monostatic radar with a single antenna. The radar echo trajectories are converted to low-resolution images and are used for the training and evaluation of the proposed technique. Results indicate that the proposed technique can recognize hand gestures with average accuracy exceeding 90%

Progress in cumulative risk assessment of human health from combined exposure to environmental pollutants

The combined exposure to environmental pollutants can result in unanticipated adverse effects on human health, and how to compare and assess these effects has always been a matter of great concern for the international community. Currently, several prevalent methods for assessing combined exposure risks in the field of human health risk assessment primarily encompass the hazard index (HI) method, the point of departure index (PODI) method, the margin of exposure (MOE) method, and the relative potency factor (RPF) method. The review summarizes the application of these methods to the cumulative risk assessment of combined exposure to the same class of chemicals with the same toxic mechanism, primarily focusing on pesticides such as organophosphorus pesticides, pyrethroids, carbamates, and neonicotinoids, as well as typical compounds intimately related to human production and life, including organophosphorus flame retardants, per- and poly-fluoroalkyl substances, and bisphenols. Furthermore, progress in the application of physiologically based pharmacokinetics models to human health risk assessment has been introduced, which might provide more options for risk assessment of combined exposure to multiple chemicals, and help to provide insights for further exploration and establishment of more systematic and scientific approaches to human health risk assessment

LiveRetro: Visual Analytics for Strategic Retrospect in Livestream E-Commerce

Livestream e-commerce integrates live streaming and online shopping, allowing viewers to make purchases while watching. However, effective marketing strategies remain a challenge due to limited empirical research and subjective biases from the absence of quantitative data. Current tools fail to capture the interdependence between live performances and feedback. This study identified computational features, formulated design requirements, and developed LiveRetro, an interactive visual analytics system. It enables comprehensive retrospective analysis of livestream e-commerce for streamers, viewers, and merchandise. LiveRetro employs enhanced visualization and time-series forecasting models to align performance features and feedback, identifying influences at channel, merchandise, feature, and segment levels. Through case studies and expert interviews, the system provides deep insights into the relationship between live performance and streaming statistics, enabling efficient strategic analysis from multiple perspectives.Comment: Accepted by IEEE VIS 202

3DAxiesPrompts: Unleashing the 3D Spatial Task Capabilities of GPT-4V

In this work, we present a new visual prompting method called 3DAxiesPrompts (3DAP) to unleash the capabilities of GPT-4V in performing 3D spatial tasks. Our investigation reveals that while GPT-4V exhibits proficiency in discerning the position and interrelations of 2D entities through current visual prompting techniques, its abilities in handling 3D spatial tasks have yet to be explored. In our approach, we create a 3D coordinate system tailored to 3D imagery, complete with annotated scale information. By presenting images infused with the 3DAP visual prompt as inputs, we empower GPT-4V to ascertain the spatial positioning information of the given 3D target image with a high degree of precision. Through experiments, We identified three tasks that could be stably completed using the 3DAP method, namely, 2D to 3D Point Reconstruction, 2D to 3D point matching, and 3D Object Detection. We perform experiments on our proposed dataset 3DAP-Data, the results from these experiments validate the efficacy of 3DAP-enhanced GPT-4V inputs, marking a significant stride in 3D spatial task execution

Visualizing the nucleoplasmic maturation of human pre-60S ribosomal particles.

Eukaryotic ribosome assembly is a highly orchestrated process that involves over two hundred protein factors. After early assembly events on nascent rRNA in the nucleolus, pre-60S particles undergo continuous maturation steps in the nucleoplasm, and prepare for nuclear export. Here, we report eleven cryo-EM structures of the nuclear pre-60S particles isolated from human cells through epitope-tagged GNL2, at resolutions of 2.8-4.3 Å. These high-resolution snapshots provide fine details for several major structural remodeling events at a virtual temporal resolution. Two new human nuclear factors, L10K and C11orf98, were also identified. Comparative structural analyses reveal that many assembly factors act as successive place holders to control the timing of factor association/dissociation events. They display multi-phasic binding properties for different domains and generate complex binding inter-dependencies as a means to guide the rRNA maturation process towards its mature conformation. Overall, our data reveal that nuclear assembly of human pre-60S particles is generally hierarchical with short branch pathways, and a few factors display specific roles as rRNA chaperones by confining rRNA helices locally to facilitate their folding, such as the C-terminal domain of SDAD1

Atorvastatin Decreased Circulating RANTES Levels in Impaired Glucose Tolerance Patients with Hypercholesterolemia: An Interventional Study

INTRODUCTION: Impaired glucose tolerance (IGT) is the major cause of the development of both type 2 diabetes and atherosclerosis. Regulated upon activation, normal T cells expressed and secreted (RANTES), a proinflammatory chemokine, is associated with atherosclerosis. We investigated the effect of atorvastatin on circulating RANTES in IGT patients with hypercholesterolemia. METHODS: This study evaluated cross-sectional and interventional studies of 32 IGT patients with hypercholesterolemia (group A) and 32 controls (group B). Group A was treated with atorvastatin (20 mg/day) for 8 weeks. Platelet-free plasma (PFP) RANTES and clinical characteristics were examined. RESULTS: PFP RANTES was significantly higher in group A compared with group B (9.76 ± 3.10 vs 6.43 ± 2.16 ng/ml, P < 0.001). PFP RANTES was positively correlated with total cholesterol (TC) (r = 0.589, P < 0.001), low-density lipoprotein cholesterol (LDL-C) (r = 0.583, P < 0.001), triglycerides (TG) (r = 0.450, P < 0.001), fasting blood glucose (FBG) (r = 0.469, P < 0.001), 2-hour postchallenge glucose (2hPG) (r = 0.397, P = 0.001), glycosylated hemoglobin (HbA1c) (r = 0.353, P = 0.004), and high sensitivity C-reactive protein (hsCRP) (r = 0.616, P < 0.001), and negatively related to high-density lipoprotein cholesterol (HDL-C) (r = −0.272, P = 0.029). After controlling for confounders, LDL-C (β = 2.109, P < 0.001) and hsCRP (β = 0.272, P = 0.029) were independently related to RANTES. After atorvastatin treatment, PFP RANTES significantly decreased in group A compared with baseline (from 9.76 ± 3.10 to 7.48 ± 2.78 ng/ml, P < 0.001). CONCLUSIONS: Atorvastatin decreased circulating RANTES in IGT patients with hypercholesterolemia, indicating that statins may play an important role in inhibiting inflammatory responses in patients with IGT