A Multimodal Learning Framework for Comprehensive 3D Mineral Prospectivity Modeling with Jointly Learned Structure-Fluid Relationships

This study presents a novel multimodal fusion model for three-dimensional mineral prospectivity mapping (3D MPM), effectively integrating structural and fluid information through a deep network architecture. Leveraging Convolutional Neural Networks (CNN) and Multilayer Perceptrons (MLP), the model employs canonical correlation analysis (CCA) to align and fuse multimodal features. Rigorous evaluation on the Jiaojia gold deposit dataset demonstrates the model's superior performance in distinguishing ore-bearing instances and predicting mineral prospectivity, outperforming other models in result analyses. Ablation studies further reveal the benefits of joint feature utilization and CCA incorporation. This research not only advances mineral prospectivity modeling but also highlights the pivotal role of data integration and feature alignment for enhanced exploration decision-making

Site application of alkali-activated slag concrete in a Chinese building

Kai Yang and Muhammed Basheer of the University of Leeds, Changhui Yang of Chongqing University, China, Jingjie Zhang and ©ɐȁ§Ɗȁ of Chongqing Construction Science Research Institute, China and Yun Bai of University College London report on the first cast-in-situ structural application of alkali-activated slag concrete in a building in China. Attention was given to quality control of raw materials and concrete, construction procedure and assessment of both the consistence and strength. This project has demonstrated that the quality and cost involved could be controlled with a detailed working plan. It has also been found that the alkali-activated slag concrete has the potential to be used in cold-weather construction, as the ambient temperature during the construction of the demonstration building was quite low, sometimes below 5°C

Numerical simulation of hydrodynamics and reaeration over a stepped spillway by the SPH method

Aerated flows are characterized by complex hydrodynamics and mass-transfer processes. As a Lagrangian method, smoothed particle hydrodynamics (SPH) has a significant advantage in tracking the air-water interface in turbulent flows. This paper presents the application of an SPH method to investigate hydrodynamics and reaeration over stepped spillways. In the SPH method, the entrainment of dissolved oxygen (DO) is studied using a multiphase mass transfer SPH method for reaeration. The numerical results are compared with the hydrodynamics data from Chanson and DO data from Cheng. The simulation results show that velocity distribution and the location of free-surface aeration inception agree with the experimental results. Compared with the experimental results, the distribution of DO concentration over the stepped spillway is consistent with the measurement results. The study shows that the two-phase DO mass transfer SPH model is reliable and reasonable for simulating the hydrodynamics characteristics and reaeration process

MUG: Interactive Multimodal Grounding on User Interfaces

We present MUG, a novel interactive task for multimodal grounding where a user and an agent work collaboratively on an interface screen. Prior works modeled multimodal UI grounding in one round: the user gives a command and the agent responds to the command. Yet, in a realistic scenario, a user command can be ambiguous when the target action is inherently difficult to articulate in natural language. MUG allows multiple rounds of interactions such that upon seeing the agent responses, the user can give further commands for the agent to refine or even correct its actions. Such interaction is critical for improving grounding performances in real-world use cases. To investigate the problem, we create a new dataset that consists of 77,820 sequences of human user-agent interaction on mobile interfaces in which 20% involves multiple rounds of interactions. To establish our benchmark, we experiment with a range of modeling variants and evaluation strategies, including both offline and online evaluation-the online strategy consists of both human evaluation and automatic with simulators. Our experiments show that allowing iterative interaction significantly improves the absolute task completion by 18% over the entire test dataset and 31% over the challenging subset. Our results lay the foundation for further investigation of the problem

High prevalence of a globally disseminated hypervirulent clone, Staphylococcus aureus CC121, with reduced vancomycin susceptibility in community settings in China

Objectives: Most vancomycin-intermediate Staphylococcus aureus (VISA) and heterogeneous VISA (hVISA) are derived from hospital-associated MRSA due to treatment failure; however, the prevalence of hVISA/VISA in community settings remains unclear. Methods: Four hundred and seventy-six community-associated isolates were collected between 2010 and 2011 during national surveillance for antimicrobial resistance in 31 county hospitals across China. Drug susceptibility evaluation and mecA detection were performed by using broth microdilution and PCR analysis, respectively. hVISA/VISA were identified by using macro-Etest and a modified population analysis profile (PAP)-AUC method. The genetic features of all hVISA/VISA isolates were genotyped. Results: Among 476 isolates, MRSA and MSSA accounted for 19.7% (n = 94) and 80.3% (n = 382), respectively. Two VISA and 36 hVISA isolates were identified by PAP-AUC testing. The VISA isolates and 29 of the hVISA isolates were MRSA. The proportion of hVISA/VISA was significantly higher in MRSA (30.9%) than in MSSA (1.8%). The hVISA/VISA isolates were assigned to 18 STs classified into seven clonal complexes (CCs). CC121 (n = 12) followed by ST239 (n = 11) was the most prevalent hVISA/VISA clone. All ST239-hVISA/VISA were MRSA, while 12 CC121-hVISA isolates included 6 MSSA and 6 MRSA isolates. SCCmec III was predominant among MRSA-hVISA/VISA isolates. agr I and agr IV were detected in ST239 and CC121, respectively. All except two strains were positive for Panton-Valentine leucocidin genes. Conclusions: To the best of our knowledge, this is the first report of CC121 as a prevalent hVISA clone in community settings, highlighting the necessity of surveillance and stricter infection control measures for this globally disseminated lineage

Post-Translational Modification of Drp1 is a Promising Target for Treating Cardiovascular Diseases

Mitochondria are essential for cell growth, fission, differentiation, and survival, particularly in undivided cells with high energy requirements, such as cardiomyocytes. The morphology and position of mitochondria change with the activity of mitochondrial fission proteins and mitochondrial fusion proteins. These regulatory mechanisms substantially affect cardiomyocyte energy supply and normal function. In mitochondrial fission, dynamin-related protein 1 (Drp1) is involved in the separation and degradation of damaged mitochondria, and accurately regulates mitochondrial renewal and number. Recent studies have revealed a variety of post-translational modification (PTMs) of Drp1, including phosphorylation, SUMOylation, acetylation, O-GlcNAcylation, and S-sulfhydration. These modifications ensure that Drp1 continues to function normally in various signaling pathways, by modulating its activity, stability, and subcellular localization. This article provides an overview of the relationship between Drp1 PTMs and cardiovascular diseases such as heart failure, myocardial infarction, and myocardial ischemia-reperfusion, and describes how these modifications can be targeted and regulated, to help guide cardiovascular disease treatment