Abstract With the increasing safety concerns and consensus on sustainability, aqueous zinc‐ion batteries (AZIBs) are gaining significant attention as a green efficient alternative for energy storage technologies. However, prolonged persistent chemical dissolution electrochemical capacity fading of one dominant vanadium oxide cathodes has long posed an unavoidable challenge. Meanwhile, mechanism AZIBs remains controversial, along with formation parasitic derived cathode‐related products...

Abstract Hybrid organic–inorganic perovskite (HOP) spintronics aims to make full use of the properties electron spin. HOP has recently emerged as a promising field research because it provides new precisely manipulable degree freedom. The flourishing development activity in this benefited from unique intrinsic spin‐related optoelectronic HOPs, which include triplet formation, large Stark effect, magneto‐optical polarized light‐related effects, and complex light emission characteristics,...

Large text-to-image diffusion models have impressive capabilities in generating photorealistic images from text prompts. How to effectively guide or control these powerful perform different downstream tasks becomes an important open problem. To tackle this challenge, we introduce a principled finetuning method -- Orthogonal Finetuning (OFT), for adapting tasks. Unlike existing methods, OFT can provably preserve hyperspherical energy which characterizes the pairwise neuron relationship on...

Creating realistic 3D objects and clothed avatars from a single RGB image is an attractive yet challenging problem. Due to its ill-posed nature, recent works leverage powerful prior 2D diffusion models pretrained on large datasets. Although demonstrate strong generalization capability, they cannot guarantee the generated multi-view images are consistent. In this paper, we propose Gen-3Diffusion: Realistic Image-to-3D Generation via & Diffusion Synergy. We pre-trained model our elegantly...

Mass concentration using conventional forward osmosis (FO) membranes has experienced critical issues including membrane fouling and internal polarization effects. In this study, we designed a conductive FO for milk the proposed electro-FO system. Specifically, layer, with thickness of approximately 1 μm, was constructed through in situ polymerization pyrrole on surface symmetric polyoxadiazole-co-hydrazide membrane. This unique structural design promoted an (named PPy-PODH) high water flux...

Abstract It is imperative to have high adaptive techniques for sensing and manipulating biological targets at the nanoscale. This necessity becomes particularly crucial when dealing with fragile living bio-organisms like viruses, where expression of capsids closely linked viral functions genome constitution. Therefore, development a comprehensive system dissecting measuring viruses holds significant implications pharmaceutical industry drug manufacturing. Leveraging sub-nanometer spatial...

Obtaining personalized 3D animatable avatars from a monocular camera has several real world applications in gaming, virtual try-on, animation, and VR/XR, etc. However, it is very challenging to model dynamic finegrained clothing deformations such sparse data. Existing methods for modeling humans depth data have limitations terms of computational efficiency, mesh coherency, flexibility resolution topology. For instance, reconstructing shapes using implicit functions extracting explicit meshes...

Atomic force microscopy (AFM) based nanorobotic technology provides a unique manner for delicate operations at the nanoscale in various ambient, thanks to its ultrahigh spatial resolution, outstanding environmental adaptability, and numerous measurement approaches. However, one vital challenge behind is task space positioning problem, known difficulty realize desirable relative position between AFM sharp tip target. It noted that although possesses nanometer imaging it hard achieve accuracy...

Purpose The disinfection robot developed by the authors and team focuses on achieving fast precise under a given or specific zone. This looks to solve problems with traditional robots that pay less attention level, efficiency zones of disinfection. To effectively support guarantee normal running for whole system, digital twin system is applied robot. study aims achieve fast, thorough via mobile Design/methodology/approach designed composed primarily following three parts: platform, six-axis...

Since the COVID-19 disease has been further aggravated, prevention of pathogen transmission becomes a vital issue to restrain casualties. Recent research outcomes have shown possibilities viruses existing on inanimate surfaces up few days, which carry risk touch propagation disease. Deep ultraviolet germicide irradiation (UVGI) with wavelength 255–280nm verified efficiently disinfect various types bacteria and virus, could prevent aggravation pandemic spread. Even though considerable...

Abstract A rotary motor combined with fibrous string demonstrates excellent performance because it is powerful, lightweight, and prone to large strokes; however, the stiffness range force-generating capability of twisted transmission systems are limited. Here, we present a variable artificial muscle generated by impregnating shear stiffening gels (STGs) into actuator (TSA). high twisting speed produces impact force causes STG, thereby improving elasticity, stiffness, capacity, response time...

This paper proposes a novel dictionary learning approach to detect event anomalities using skeletal information extracted from RGBD video. The action is represented as several latent atoms and composed of spatial temporal attributes. We aim construct network able learn few examples also rules defined by the user. skeleton frames are clustered an initial K-means method. Each frame assigned with varying weight parameter fed into our Gradual Online Dictionary Learning (GODL) algorithm. During...

Abstract The hot or cold processing would induce the change and inhomogeneous of material mechanical properties in local region structure, it is difficult to obtain specific these regions by using traditional tensile test. To accurately get actual a micro-indentation test system incorporated an electronic universal device has been established. An indenter displacement sensor group special micro-indenter assemblies are A numerical indentation inversion analysis method ABAQUS software also...

Many cities in China have built an advanced public transportation system (APTS) recent years. These systems cannot carry out automated dispatches but rely on the dispatcher to ensure normal operations. Based theory of fuzzy comprehensive evaluation, this study created a hierarchical evaluation model evaluate work level dispatcher. Firstly, was established based data line complexity and dispatch workload provided by APTS. Secondly, we assigned weight evaluating indicator combing expert...

Animal cells undergo dramatic shapes and mechanical changes during proliferation, which are closely connected to cytoskeleton reorganization how focal adhesion complexes reassemble. Cells division begins with mitotic entry, followed by the actomyosin remodeling of cell-to-substrate complexes, osmotic pressure will increase accordingly. In turn, these contribute response properties cellular division. Atomic force microscopy (AFM) provides a high- resolution platform for characterizing...

In traditional teleoperation systems, the single video feedback provided to an operator generally suffers from a lack of spatial depth information. this paper, we propose provide real-time 3D stereoscopic visual for operator, so that they can accurately acquire information about working environment with sense depth. However, due randomness Internet delay, received tends be stuck or interrupted, which makes manipulate without obtaining remote operating environment. event-based robot system is...

In the past decades, bubbles have been gaining extensive attentions for their wide range of applications, especially those at micro-scale. Research on bubbles' mechanical properties is necessary better implementations. Precise measurement microbubbles' (e.g. stiffness and adhesion) relies largely delicate manipulation technologies in aqueous environment. As a consequence, atomic force microscopy (AFM) has widely adopted this field. Bubble an important indicator to reflect stability. Existing...

Abstract Background With the ever-changing urban development and a growing number of vehicles, road congestion problem has become hotspot issue at present. As an important constituent part traffic system, public system effective force relieving problem. Objective To explore how to better reduce prediction error arrival time bus stop on basis actual GPS data. Method The was analyzed based data, series optimization model genetic algorithm established, followed by analysis stop. Result result...

Coming after two previous waves of feminism, neoliberal feminism has emerged in the public arena with strategies such as empowerment and self-choice. Situated at intersection commodity economy, differentiated goods, consumerism, this form encourages women to compete for power status economic terms. While it seems popular many women, may have potential exacerbate internal divisions gender antagonism while ignoring original purpose women’s quest affirmative action. Using a theoretical approach...

We developed a nano-operating system that features stereoscopic display of AFM images is updated in real time. In order to accurately judge the positional relationship between nanoparticles and carry out operations, operator able use this not only observe change process nano-environment time while operating, but also obtain depth information with help real-time display. At same time, we give corresponding perspective by obtaining changes operator's head posture. This helps increase sense...

Large foundation models are becoming ubiquitous, but training them from scratch is prohibitively expensive. Thus, efficiently adapting these powerful to downstream tasks increasingly important. In this paper, we study a principled finetuning paradigm -- Orthogonal Finetuning (OFT) for task adaptation. Despite demonstrating good generalizability, OFT still uses fairly large number of trainable parameters due the high dimensionality orthogonal matrices. To address this, start by examining an...