Uranium capture from seawater could solve increasing energy demand and enable a much needed relaxing fossil fuels. Low concentration (∼3 ppb), competing cations (especially vanadium) pH-dependent speciation prohibit highly efficient uranium uptake. Despite intensive research, selective extraction of uranyl ions over vanadyl units remains tremendous challenge. Here, we adopted molecular coordination template strategy to design uranyl-specific bis-salicylaldoxime entity decorated it into...

Internet of Things (IoT) devices are largely embedded which lack a sophisticated user interface, e.g., touch screen, keyboard, etc. As consequence, traditional Pre-Shared Key (PSK) based authentication for mobile becomes difficult to apply. For example, according our study on home automation leverage smartphone PSK input, the current process does not protect against active impersonating attack and also leaks Wi-Fi password eavesdroppers, i.e., currently these IoT can be exploited enter into...

Deep Belief Networks (DBNs) represent a transformative approach in financial time series analysis, addressing the complexities of market dynamics through advanced deep learning techniques. By leveraging hierarchical layers unsupervised Restricted Boltzmann Machines (RBMs), DBNs excel extracting intricate patterns from vast datasets, enabling accurate prediction trends and fluctuations. This capability not only enhances traditional analysis methods but also facilitates informed...

We propose Neural Canvas, a lightweight 3D platform that integrates sketching and collection of generative AI models to facilitate scenic design prototyping. Compared with traditional tools, in environment helps designers quickly express spatial ideas, but it does not the rapid prototyping scene appearance or atmosphere. Canvas into interface incorporates four types projection operations 2D-to-3D content creation. Our user study shows is an effective creativity support tool, enabling users...

In a multicore system, effective management of shared last level cache (LLC), such as hardware/software partitioning, has attracted significant research attention. Some eminent progress is that Intel introduced Cache Allocation Technology (CAT) to its commodity processors recently. CAT implements way partitioning and provides software interface control allocation. Unfortunately, can only allocate at level, which does not scale well for large thread or program count serve their various...

Recent studies show the promise of VR in improving physical, cognitive, and emotional health older adults. However, prior work on optimizing object selection manipulation performance was mostly conducted among younger It remains unclear how adults would perform such tasks compared to challenges they might face. To fill this gap, we two with both understand their performances user experiences respectively. Based results, delineated interaction difficulties that exhibited identified multiple...

This study explores the application of blockchain technology in e-waste recycling, focusing on enhancing reverse logistics data tracking. A blockchain-based system integrating IoT sensors, smart contracts, and a token-based incentive mechanism was designed implemented. The case Metropolis demonstrated significant improvements management efficiency. Recycling rates increased by 27%, material recovery efficiency improved 18%, stakeholder participation doubled. processed an average 50,000...

Most augmented reality (AR) authoring tools only support the author's current environment, but designers often need to create site-specific experiences for a different environment. We propose DistanciAR, novel tablet-based workflow remote AR authoring. Our baseline solution involves three steps. A environment is captured by camera with LiDAR; then, author creates an experience from location using interactions; finally, viewer consumes content on site. formative study revealed understanding...

Cascaded holography coupled with the secret-sharing scheme has recently gained considerable attention due to its enhanced information processing and encryption capabilities. Here, we propose a new holographic iterative algorithm present implementation of cascaded liquid crystal (LC) for optical encryption. Each LC layer acts as secret key can generate distinct image. By cascading two elements, image is formed. Additionally, showcase dynamic achieved by electrically switching LCs combined...

Nuclei segmentation is a fundamental prerequisite in the digital pathology workflow. The development of automated methods for nuclei enables quantitative analysis wide existence and large variances morphometry histopathology images. However, manual annotation tens thousands tedious time-consuming, which requires significant amount human effort domain-specific expertise. To alleviate this problem, paper, we propose weakly-supervised method that only partial point labels nuclei. Specifically,...

In recent years, various head-worn virtual reality (VR) techniques have emerged to enhance object selection for occluded or distant targets. However, many approaches focus solely on ray-casting inputs, restricting their use with other input methods, such as bare hands. Additionally, some speed up by changing the user's perspective modifying scene context, which may complicate interactions when users plan resume manipulate afterward. To address these challenges, we present FocalSelect, a...

Predictor-based Neural Architecture Search (NAS) utilizes performance predictors to swiftly estimate architecture accuracy, thereby reducing the cost of evaluation. However, existing predictor models struggle represent spatial topological information in graph-structured data and fail capture deep features entire architectures, leading decreased accuracy generalization issues. Additionally, during search process, only evaluate architectures without providing forward guidance for discovering...

This study aims to explore the structural dimensions and influencing factors of inclusive education literacy among preschool shadow teachers. Using survey data qualitative interviews from 73 teachers in Hohhot, Inner Mongolia, exploratory factor analysis (EFA) confirmatory (CFA) were conducted confirm structure literacy, encompassing professional knowledge, skills, attitudes toward inclusion, communication collaboration abilities, availability support resources, perceived challenges. The...

Despite recent advances in UNet-based image editing, methods for shape-aware object editing high-resolution images are still lacking. Compared to UNet, Diffusion Transformers (DiT) demonstrate superior capabilities effectively capture the long-range dependencies among patches, leading higher-quality generation. In this paper, we propose DiT4Edit, first Transformer-based framework. Specifically, DiT4Edit uses DPM-Solver inversion algorithm obtain inverted latents, reducing number of steps...

We present PointShopAR, a novel tablet-based system for AR environmental design using point clouds as the underlying representation. It integrates cloud capture and editing in single workflow to help users quickly prototype ideas their spatial context. hypothesize that are well suited prototyping, they can be captured more rapidly than textured meshes then edited immediately situ on capturing device. based of PointShopAR practical needs six architects formative study. Our supports variety...

As metaverse becomes one of the most popular buzzwords in technology, there is still a lack support to integrate true learning experiences massive open online courses (MOOCs). This article introduces new framework (MOMCs) and its major enabling technologies, which add immersive 3-D lacking MOOCs. It then describes detailed case study, President's First Lecture at Hong Kong University Science Technology (Guangzhou), we consider world's first MOMC environment, enabled by latest volumetric...