This paper explores the use of social annotations to improve websearch. Nowadays, many services, e.g. del.icio.us, have been developed for web users organize and share their favorite webpages on line by using annotations. We observe that can benefit search in two aspects: 1) are usually good summaries corresponding webpages; 2) count indicates popularity webpages. Two novel algorithms proposed incorporate above information into page ranking: SocialSimRank (SSR)calculates similarity between...

Abstract Developing an ultimate electromagnetic (EM)-absorbing material that can not only dissipate EM energy but also convert the generated heat into electricity is highly desired remains a significant challenge. Here, we report hybrid Sn@C composite with biological cell-like splitting ability to address this The consisting of Sn nanoparticles embedded within porous carbon would split under cycled annealing treatment, leading more dispersed ultrasmall size. Benefiting from...

Abstract Developing nonprecious electrocatalysts via a cost‐effective methods to synergistically achieve high active sites exposure and optimized intrinsic activity remains grand challenge. Here low‐cost scaled‐up chemical etching method is developed for transforming nickel foam (NF) into highly electrocatalyst both the hydrogen evolution reaction (HER) oxygen (OER). The synthetic involves Na 2 S‐induced of NF in presence Fe, leading growth ultrathin Fe‐doped Ni 3 S arrays on substrate (Fe x...

Abstract The conversion of crystalline metal–organic frameworks (MOFs) into metal compounds/carbon hybrid nanocomposites via pyrolysis provides a promising solution to design electrocatalysts for electrochemical water splitting. However, pyrolyzing MOFs generally involves complex high‐temperature treatment, which can destroy the coordinated surroundings within MOFs, and as result not taking their full advantage electrolysis properties. Herein, simple room‐temperature boronization strategy is...

Abstract Engineering transition metal‐nitrogen‐carbon (TM‐N‐C) catalysts with high‐density accessible active sites and optimized electronic structure holds great promise in the context of electrochemical oxygen reduction reaction (ORR). Herein, a novel modification lysozyme‐modified zeolitic imidazolate framework isolated Co atoms anchored on dominated pyridinic‐N doped carbon (Co‐pyridinic N‐C) is reported. The atomically dispersed allows maximum site exposure while introduction pyridinic N...

Abstract Designing non‐precious electrocatalysts to synergistically achieve a facilitated mass/electron transfer and exposure of abundant active sites is highly desired but remains significant challenge. Herein, composite electrocatalyst consisting dispersed Co/CoP heterojunction embedded within hierarchically ordered macroporous‐mesoporous‐microporous carbon matrix (Co/CoP@HOMC) rationally designed through the pyrolysis polystyrene sphere‐templated zeolite imidazolate framework‐67 (ZIF‐67)...

Existing image restoration methods mostly leverage the posterior distribution of natural images. However, they often assume known degradation and also require supervised training, which restricts their adaptation to complex real applications. In this work, we propose Generative Diffusion Prior (GDP) effectively model distributions in an unsupervised sampling manner. GDP utilizes a pre-train denoising diffusion generative (DDPM) for solving linear inverse, non-linear, or blind problems....

Point cloud completion is a generation and estimation issue derived from the partial point clouds, which plays vital role in applications 3D computer vision. The progress of deep learning (DL) has impressively improved capability robustness completion. However, quality completed clouds still needed to be further enhanced meet practical utilization. Therefore, this work aims conduct comprehensive survey on various methods, including point-based, convolution-based, graph-based, generative...

3D Gaussian Splatting (3D-GS) has emerged as a significant advancement in the field of Computer Graphics, offering explicit scene representation and novel view synthesis without reliance on neural networks, such Neural Radiance Fields (NeRF). This technique found diverse applications areas robotics, urban mapping, autonomous navigation, virtual reality/augmented reality, just name few. Given growing popularity expanding research Splatting, this paper presents comprehensive survey relevant...

As a social service in Web 2.0, folksonomy provides the users ability to save and organize their bookmarks online with "social annotations" or "tags". Social annotations are high quality descriptors of web pages' topics as well good indicators users' interests. We propose personalized search framework utilize for search. Specifically, three properties folksonomy, namely categorization, keyword, structure property, explored. In framework, rank page is decided not only by term matching between...

Transition-metal dichalcogenides (TMDs) hold great potential as an advanced electrocatalyst for oxygen evolution reaction (OER), but to date the activity of transition metal telluride catalysts are demonstrated be poor this reaction. In study, we report activation CoTe2 OER by doping secondary anions into Te vacancies trigger a structural from hexagonal orthorhombic phase. The achieved with partial occupied P-doping exhibits exceptional catalytic overpotential only 241 mV at 10 mA cm-2 and...

The practical application of lithium-sulfur batteries is severely hampered by the poor conductivity, polysulfide shuttle effect and sluggish reaction kinetics sulfur cathodes. Herein, a hierarchically porous three-dimension (3D) carbon architecture assembled cross-linked leaves with implanted atomic Co-N4 has been delicately developed as an advanced host through SiO2-mediated zeolitic imidazolate framework-L (ZIF-L) strategy. unique 3D architectures not only provide highly conductive network...

Bayberry-like nanocomposites consisting of CoFe alloys encapsulated by carbon nanotubes derived from CoFe-nitroprussides have been rationally designed, exhibiting an excellent trifunctional electrocatalytic performance for the HER, OER and ORR.

We present DiffBIR, a general restoration pipeline that could handle different blind image tasks in unified framework. DiffBIR decouples problem into two stages: 1) degradation removal: removing image-independent content; 2) information regeneration: generating the lost content. Each stage is developed independently but they work seamlessly cascaded manner. In first stage, we use modules to remove degradations and obtain high-fidelity restored results. For second propose IRControlNet...

This paper is concerned with the problem of browsing social annotations. Today, a lot services (e.g., Del.icio.us, Filckr) have been provided for helping users to manage and share their favorite URLs photos based on Due exponential increasing annotations, more users, however, are facing how effectively find desired resources from large annotation data. Existing methods such as tag cloud matching work well only small sets. Thus, an effective approach scale sets associated in great demand by...

Logs as semi-structured text are rich in semantic information, making their comprehensive understanding crucial for automated log analysis. With the recent success of pre-trained language models natural processing, many studies have leveraged these to understand logs. Despite successes, existing still suffer from three weaknesses. Firstly, fail domain-specific terminology, especially abbreviations. Secondly, struggle adequately capture complete context information. Thirdly, difficulty...

In partial-to-complete point cloud completion, it is imperative that enabling every patch in the output faithfully represents corresponding partial input, ensuring similarity terms of geometric content. To achieve this objective, we propose a straightforward method dubbed PPCL aims to maximize mutual information between two patches from encoder and decoder by leveraging contrastive learning framework. Contrastive facilitates mapping similar points learned feature space. Notably, explore...

Point cloud completion aims to acquire complete and high-fidelity point clouds from partial low-quality clouds, which are used in remote sensing applications. Existing methods tend solve this problem solely the modality, limiting process only 3D structure while overlooking information other modalities. Nevertheless, additional modalities possess valuable that can greatly enhance effectiveness of completion. The edge depth images serve as a supervisory signal for ensuring accurate outlines...

Automated log analysis is crucial to ensure high availability and reliability of complex systems. The advent LLMs in NLP has ushered a new era language model-driven automated analysis, garnering significant interest. Within this field, two primary paradigms based on models for have become prominent. Small Language Models (SLMs) follow the pre-train fine-tune paradigm, focusing specific task through fine-tuning supervised datasets. On other hand, following in-context learning analyze logs by...

Data assimilation (DA) provides more accurate, physically consistent analysis fields and is used for estimating initial conditions in numerical weather forecasting. Traditional DA methods derive statistically optimal analyses model space based on Bayesian theory. However, their effectiveness limited by the difficulty of accurately background error covariances matrix B, which represents intricate interdependencies among atmospheric variables, as well standard linearity assumptions required...